Towards A Quantitative Survey of Dimension Reduction Techniques

Mateus Espadoto, Rafael M. Martins, Andreas Kerren, Nina S. T. Hirata and Alexandru C. Telea

Datasets Experiment Measurements Projections

Projections for all datasets (best parameter set for each projection)

All projections, in csv format

bank dataset
bank DM - {'t': 2, 'verbose': False, 'width': 5.0} bank FA - {'max_iter': 1000, 'n_components': 2, 'random_state': 42} bank FMAP - {'dissimilarity_type': 'euclidean', 'verbose': False} bank GPLVM - {'sigma': 0.5, 'verbose': False} bank F-ICA - {'fun': 'logcosh', 'max_iter': 200, 'n_components': 2, 'random_state': 42} bank IDMAP - {'dissimilarity_type': 'euclidean', 'fraction_delta': 12.0, 'init_type': 'random', 'n_iterations': 200, 'verbose': False}
DM data lbl FA data lbl FMAP data lbl GPLVM data lbl F-ICA data lbl IDMAP data lbl
bank ISO - {'eigen_solver': 'dense', 'n_components': 2, 'n_neighbors': 7} bank L-ISO - {'dissimilarity_type': 'euclidean', 'n_neighbors': 4, 'verbose': False} bank LAMP - {'fraction_delta': 2.0, 'n_iterations': 100, 'sample_type': 'clustering_centroid', 'verbose': False} bank LE - {'affinity': 'nearest_neighbors', 'n_components': 2, 'random_state': 42} bank LLC - {'k': 8, 'max_iter': 400, 'n_analyzers': 20, 'verbose': False} bank LLE - {'eigen_solver': 'dense', 'max_iter': 100, 'method': 'standard', 'n_components': 2, 'n_neighbors': 11, 'random_state': 42, 'reg': 0.1}
ISO data lbl L-ISO data lbl LAMP data lbl LE data lbl LLC data lbl LLE data lbl
bank H-LLE - {'eigen_solver': 'dense', 'max_iter': 100, 'method': 'hessian', 'n_components': 2, 'n_neighbors': 7, 'random_state': 42, 'reg': 0.001} bank M-LLE - {'eigen_solver': 'dense', 'max_iter': 100, 'method': 'modified', 'n_components': 2, 'n_neighbors': 7, 'random_state': 42, 'reg': 0.001} bank LMNN - {'k': 5, 'verbose': False} bank LSP - {'control_point_type': 'random', 'dissimilarity_type': 'euclidean', 'fraction_delta': 12.0, 'n_iterations': 200, 'n_neighbors': 16, 'verbose': False} bank LTSA - {'eigen_solver': 'dense', 'max_iter': 100, 'method': 'ltsa', 'n_components': 2, 'n_neighbors': 5, 'random_state': 42, 'reg': 0.001} bank MC - {'max_iter': 200, 'n_analyzers': 10, 'verbose': False}
H-LLE data lbl M-LLE data lbl LMNN data lbl LSP data lbl LTSA data lbl MC data lbl
bank MCML - {'verbose': False} bank MDS - {'max_iter': 500, 'metric': True, 'n_components': 2, 'n_init': 2, 'random_state': 42} bank L-MDS - {'n_neighbors': 7, 'verbose': False} bank N-MDS - {'max_iter': 300, 'metric': False, 'n_components': 2, 'n_init': 2, 'random_state': 42} bank L-MVU - {'k1': 5, 'k2': 8, 'verbose': False} bank NMF - {'alpha': 0.5, 'beta_loss': 'frobenius', 'init': 'nndsvdar', 'l1_ratio': 0.5, 'max_iter': 400, 'n_components': 2, 'random_state': 42}
MCML data lbl MDS data lbl L-MDS data lbl N-MDS data lbl L-MVU data lbl NMF data lbl
bank PBC - {'cluster_factor': 9.0, 'dissimilarity_type': 'euclidean', 'fraction_delta': 12.0, 'init_type': 'random', 'n_iterations': 100, 'verbose': False} bank PCA - {'n_components': 2, 'random_state': 42} bank I-PCA - {'n_components': 2} bank K-PCA-P - {'degree': 2, 'gamma': None, 'kernel': 'poly', 'max_iter': None, 'n_components': 2, 'random_state': 42} bank K-PCA-R - {'gamma': None, 'kernel': 'rbf', 'max_iter': None, 'n_components': 2, 'random_state': 42} bank K-PCA-S - {'degree': 3, 'gamma': 0.05, 'kernel': 'sigmoid', 'max_iter': None, 'n_components': 2, 'random_state': 42}
PBC data lbl PCA data lbl I-PCA data lbl K-PCA-P data lbl K-PCA-R data lbl K-PCA-S data lbl
bank P-PCA - {'max_iter': 400, 'verbose': False} bank S-PCA - {'alpha': 0.1, 'max_iter': 1000, 'method': 'lars', 'n_components': 2, 'normalize_components': True, 'random_state': 42, 'ridge_alpha': 0.05, 'tol': 1e-08} bank PLSP - {'dissimilarity_type': 'euclidean', 'sample_type': 'clustering', 'verbose': False} bank G-RP - {'n_components': 2, 'random_state': 42} bank S-RP - {'density': 'auto', 'n_components': 2, 'random_state': 42} bank R-SAM - {'dissimilarity_type': 'euclidean', 'verbose': False}
P-PCA data lbl S-PCA data lbl PLSP data lbl G-RP data lbl S-RP data lbl R-SAM data lbl
bank T-SNE - {'angle': 0.5, 'early_exaggeration': 6.0, 'init': 'random', 'learning_rate': 200.0, 'method': 'barnes_hut', 'metric': 'euclidean', 'min_grad_norm': 1e-07, 'n_components': 2, 'n_iter': 3000, 'n_iter_without_progress': 300, 'n_jobs': 4, 'perplexity': 30.0, 'random_state': 42} bank SPE - {'max_iter': 0, 'n_neighbors': 18, 'n_updates': 70, 'verbose': False} bank T-SVD - {'algorithm': 'randomized', 'n_components': 2, 'n_iter': 10, 'random_state': 42} bank UMAP - {'angular_rp_forest': False, 'init': 'random', 'metric': 'euclidean', 'min_dist': 0.01, 'n_components': 2, 'n_neighbors': 5, 'random_state': 42, 'spread': 1.0}
T-SNE data lbl SPE data lbl T-SVD data lbl UMAP data lbl
cifar10 dataset
cifar10 DM - {'t': 2, 'verbose': False, 'width': 10.0} cifar10 FA - {'max_iter': 1000, 'n_components': 2, 'random_state': 42} cifar10 FMAP - {'dissimilarity_type': 'euclidean', 'verbose': False} cifar10 GPLVM - {'sigma': 0.5, 'verbose': False} cifar10 F-ICA - {'fun': 'logcosh', 'max_iter': 200, 'n_components': 2, 'random_state': 42} cifar10 IDMAP - {'dissimilarity_type': 'euclidean', 'fraction_delta': 12.0, 'init_type': 'fastmap', 'n_iterations': 200, 'verbose': False}
DM data lbl FA data lbl FMAP data lbl GPLVM data lbl F-ICA data lbl IDMAP data lbl
cifar10 ISO - {'eigen_solver': 'dense', 'n_components': 2, 'n_neighbors': 7} cifar10 L-ISO - {'dissimilarity_type': 'euclidean', 'n_neighbors': 16, 'verbose': False} cifar10 LAMP - {'fraction_delta': 2.0, 'n_iterations': 200, 'sample_type': 'clustering_centroid', 'verbose': False} cifar10 LE - {'affinity': 'nearest_neighbors', 'n_components': 2, 'random_state': 42} cifar10 LLC - {'k': 12, 'max_iter': 200, 'n_analyzers': 10, 'verbose': False} cifar10 LLE - {'eigen_solver': 'dense', 'max_iter': 100, 'method': 'standard', 'n_components': 2, 'n_neighbors': 11, 'random_state': 42, 'reg': 0.001}
ISO data lbl L-ISO data lbl LAMP data lbl LE data lbl LLC data lbl LLE data lbl
cifar10 H-LLE - {'eigen_solver': 'dense', 'max_iter': 100, 'method': 'hessian', 'n_components': 2, 'n_neighbors': 11, 'random_state': 42, 'reg': 0.001} cifar10 M-LLE - {'eigen_solver': 'dense', 'max_iter': 100, 'method': 'modified', 'n_components': 2, 'n_neighbors': 11, 'random_state': 42, 'reg': 0.001} cifar10 LPP - {'n_neighbors': 11, 'verbose': False} cifar10 LSP - {'control_point_type': 'kmeans', 'dissimilarity_type': 'euclidean', 'fraction_delta': 8.0, 'n_iterations': 100, 'n_neighbors': 16, 'verbose': False} cifar10 LTSA - {'eigen_solver': 'dense', 'max_iter': 100, 'method': 'ltsa', 'n_components': 2, 'n_neighbors': 11, 'random_state': 42, 'reg': 0.001} cifar10 L-LTSA - {'n_neighbors': 11, 'verbose': False}
H-LLE data lbl M-LLE data lbl LPP data lbl LSP data lbl LTSA data lbl L-LTSA data lbl
cifar10 MC - {'max_iter': 400, 'n_analyzers': 10, 'verbose': False} cifar10 MCML - {'verbose': False} cifar10 MDS - {'max_iter': 500, 'metric': True, 'n_components': 2, 'n_init': 4, 'random_state': 42} cifar10 L-MDS - {'n_neighbors': 11, 'verbose': False} cifar10 N-MDS - {'max_iter': 300, 'metric': False, 'n_components': 2, 'n_init': 2, 'random_state': 42} cifar10 L-MVU - {'k1': 5, 'k2': 12, 'verbose': False}
MC data lbl MCML data lbl MDS data lbl L-MDS data lbl N-MDS data lbl L-MVU data lbl
cifar10 NMF - {'alpha': 0, 'beta_loss': 'frobenius', 'init': 'random', 'l1_ratio': 0.0, 'max_iter': 400, 'n_components': 2, 'random_state': 42} cifar10 PBC - {'cluster_factor': 9.0, 'dissimilarity_type': 'euclidean', 'fraction_delta': 8.0, 'init_type': 'fastmap', 'n_iterations': 100, 'verbose': False} cifar10 PCA - {'n_components': 2, 'random_state': 42} cifar10 I-PCA - {'n_components': 2} cifar10 K-PCA-P - {'degree': 2, 'gamma': None, 'kernel': 'poly', 'max_iter': None, 'n_components': 2, 'random_state': 42} cifar10 K-PCA-R - {'gamma': None, 'kernel': 'rbf', 'max_iter': None, 'n_components': 2, 'random_state': 42}
NMF data lbl PBC data lbl PCA data lbl I-PCA data lbl K-PCA-P data lbl K-PCA-R data lbl
cifar10 K-PCA-S - {'degree': 3, 'gamma': None, 'kernel': 'sigmoid', 'max_iter': None, 'n_components': 2, 'random_state': 42} cifar10 P-PCA - {'max_iter': 400, 'verbose': False} cifar10 S-PCA - {'alpha': 0.01, 'max_iter': 1000, 'method': 'lars', 'n_components': 2, 'normalize_components': True, 'random_state': 42, 'ridge_alpha': 0.05, 'tol': 1e-08} cifar10 PLSP - {'dissimilarity_type': 'euclidean', 'sample_type': 'clustering', 'verbose': False} cifar10 G-RP - {'n_components': 2, 'random_state': 42} cifar10 S-RP - {'density': 'auto', 'n_components': 2, 'random_state': 42}
K-PCA-S data lbl P-PCA data lbl S-PCA data lbl PLSP data lbl G-RP data lbl S-RP data lbl
cifar10 R-SAM - {'dissimilarity_type': 'euclidean', 'verbose': False} cifar10 T-SNE - {'angle': 0.5, 'early_exaggeration': 6.0, 'init': 'random', 'learning_rate': 200.0, 'method': 'barnes_hut', 'metric': 'euclidean', 'min_grad_norm': 1e-07, 'n_components': 2, 'n_iter': 1000, 'n_iter_without_progress': 300, 'n_jobs': 4, 'perplexity': 15.0, 'random_state': 42} cifar10 SPE - {'max_iter': 0, 'n_neighbors': 18, 'n_updates': 20, 'verbose': False} cifar10 T-SVD - {'algorithm': 'randomized', 'n_components': 2, 'n_iter': 5, 'random_state': 42} cifar10 UMAP - {'angular_rp_forest': False, 'init': 'spectral', 'metric': 'euclidean', 'min_dist': 0.001, 'n_components': 2, 'n_neighbors': 15, 'random_state': 42, 'spread': 1.0}
R-SAM data lbl T-SNE data lbl SPE data lbl T-SVD data lbl UMAP data lbl
cnae9 dataset
cnae9 DM - {'t': 2, 'verbose': False, 'width': 10.0} cnae9 FA - {'max_iter': 1000, 'n_components': 2, 'random_state': 42} cnae9 FMAP - {'dissimilarity_type': 'euclidean', 'verbose': False} cnae9 GDA - {'kernel': 'gauss', 'verbose': False} cnae9 GPLVM - {'sigma': 0.5, 'verbose': False} cnae9 F-ICA - {'fun': 'logcosh', 'max_iter': 200, 'n_components': 2, 'random_state': 42}
DM data lbl FA data lbl FMAP data lbl GDA data lbl GPLVM data lbl F-ICA data lbl
cnae9 IDMAP - {'dissimilarity_type': 'euclidean', 'fraction_delta': 12.0, 'init_type': 'random', 'n_iterations': 100, 'verbose': False} cnae9 ISO - {'eigen_solver': 'dense', 'n_components': 2, 'n_neighbors': 7} cnae9 L-ISO - {'dissimilarity_type': 'euclidean', 'n_neighbors': 4, 'verbose': False} cnae9 LAMP - {'fraction_delta': 2.0, 'n_iterations': 200, 'sample_type': 'clustering_centroid', 'verbose': False} cnae9 LE - {'affinity': 'nearest_neighbors', 'n_components': 2, 'random_state': 42} cnae9 LLC - {'k': 8, 'max_iter': 400, 'n_analyzers': 10, 'verbose': False}
IDMAP data lbl ISO data lbl L-ISO data lbl LAMP data lbl LE data lbl LLC data lbl
cnae9 LLE - {'eigen_solver': 'dense', 'max_iter': 100, 'method': 'standard', 'n_components': 2, 'n_neighbors': 5, 'random_state': 42, 'reg': 0.1} cnae9 H-LLE - {'eigen_solver': 'dense', 'max_iter': 100, 'method': 'hessian', 'n_components': 2, 'n_neighbors': 11, 'random_state': 42, 'reg': 0.001} cnae9 M-LLE - {'eigen_solver': 'dense', 'max_iter': 100, 'method': 'modified', 'n_components': 2, 'n_neighbors': 11, 'random_state': 42, 'reg': 0.001} cnae9 LMNN - {'k': 5, 'verbose': False} cnae9 LPP - {'n_neighbors': 11, 'verbose': False} cnae9 LSP - {'control_point_type': 'random', 'dissimilarity_type': 'euclidean', 'fraction_delta': 12.0, 'n_iterations': 200, 'n_neighbors': 16, 'verbose': False}
LLE data lbl H-LLE data lbl M-LLE data lbl LMNN data lbl LPP data lbl LSP data lbl
cnae9 LTSA - {'eigen_solver': 'dense', 'max_iter': 100, 'method': 'ltsa', 'n_components': 2, 'n_neighbors': 11, 'random_state': 42, 'reg': 0.001} cnae9 L-LTSA - {'n_neighbors': 11, 'verbose': False} cnae9 MC - {'max_iter': 200, 'n_analyzers': 10, 'verbose': False} cnae9 MDS - {'max_iter': 500, 'metric': True, 'n_components': 2, 'n_init': 4, 'random_state': 42} cnae9 L-MDS - {'n_neighbors': 7, 'verbose': False} cnae9 N-MDS - {'max_iter': 300, 'metric': False, 'n_components': 2, 'n_init': 4, 'random_state': 42}
LTSA data lbl L-LTSA data lbl MC data lbl MDS data lbl L-MDS data lbl N-MDS data lbl
cnae9 L-MVU - {'k1': 3, 'k2': 8, 'verbose': False} cnae9 NMF - {'alpha': 0.5, 'beta_loss': 'frobenius', 'init': 'random', 'l1_ratio': 0.0, 'max_iter': 200, 'n_components': 2, 'random_state': 42} cnae9 PBC - {'cluster_factor': 9.0, 'dissimilarity_type': 'euclidean', 'fraction_delta': 8.0, 'init_type': 'fastmap', 'n_iterations': 200, 'verbose': False} cnae9 PCA - {'n_components': 2, 'random_state': 42} cnae9 I-PCA - {'n_components': 2} cnae9 K-PCA-P - {'degree': 2, 'gamma': None, 'kernel': 'poly', 'max_iter': None, 'n_components': 2, 'random_state': 42}
L-MVU data lbl NMF data lbl PBC data lbl PCA data lbl I-PCA data lbl K-PCA-P data lbl
cnae9 K-PCA-R - {'gamma': None, 'kernel': 'rbf', 'max_iter': None, 'n_components': 2, 'random_state': 42} cnae9 K-PCA-S - {'degree': 3, 'gamma': 0.5, 'kernel': 'sigmoid', 'max_iter': None, 'n_components': 2, 'random_state': 42} cnae9 P-PCA - {'max_iter': 200, 'verbose': False} cnae9 S-PCA - {'alpha': 0.01, 'max_iter': 1000, 'method': 'lars', 'n_components': 2, 'normalize_components': True, 'random_state': 42, 'ridge_alpha': 0.5, 'tol': 1e-08} cnae9 G-RP - {'n_components': 2, 'random_state': 42} cnae9 S-RP - {'density': 'auto', 'n_components': 2, 'random_state': 42}
K-PCA-R data lbl K-PCA-S data lbl P-PCA data lbl S-PCA data lbl G-RP data lbl S-RP data lbl
cnae9 R-SAM - {'dissimilarity_type': 'euclidean', 'verbose': False} cnae9 T-SNE - {'angle': 0.5, 'early_exaggeration': 18.0, 'init': 'random', 'learning_rate': 200.0, 'method': 'barnes_hut', 'metric': 'euclidean', 'min_grad_norm': 1e-07, 'n_components': 2, 'n_iter': 3000, 'n_iter_without_progress': 300, 'n_jobs': 4, 'perplexity': 5.0, 'random_state': 42} cnae9 SPE - {'max_iter': 0, 'n_neighbors': 6, 'n_updates': 20, 'verbose': False} cnae9 T-SVD - {'algorithm': 'randomized', 'n_components': 2, 'n_iter': 5, 'random_state': 42} cnae9 UMAP - {'angular_rp_forest': False, 'init': 'spectral', 'metric': 'euclidean', 'min_dist': 0.01, 'n_components': 2, 'n_neighbors': 10, 'random_state': 42, 'spread': 1.0}
R-SAM data lbl T-SNE data lbl SPE data lbl T-SVD data lbl UMAP data lbl
coil20 dataset
coil20 DM - {'t': 10, 'verbose': False, 'width': 10.0} coil20 FA - {'max_iter': 1000, 'n_components': 2, 'random_state': 42} coil20 FMAP - {'dissimilarity_type': 'euclidean', 'verbose': False} coil20 GPLVM - {'sigma': 0.5, 'verbose': False} coil20 F-ICA - {'fun': 'exp', 'max_iter': 200, 'n_components': 2, 'random_state': 42} coil20 IDMAP - {'dissimilarity_type': 'euclidean', 'fraction_delta': 8.0, 'init_type': 'random', 'n_iterations': 100, 'verbose': False}
DM data lbl FA data lbl FMAP data lbl GPLVM data lbl F-ICA data lbl IDMAP data lbl
coil20 ISO - {'eigen_solver': 'dense', 'n_components': 2, 'n_neighbors': 7} coil20 L-ISO - {'dissimilarity_type': 'euclidean', 'n_neighbors': 16, 'verbose': False} coil20 LAMP - {'fraction_delta': 12.0, 'n_iterations': 200, 'sample_type': 'clustering_centroid', 'verbose': False} coil20 LE - {'affinity': 'nearest_neighbors', 'n_components': 2, 'random_state': 42} coil20 LLC - {'k': 12, 'max_iter': 200, 'n_analyzers': 10, 'verbose': False} coil20 LLE - {'eigen_solver': 'dense', 'max_iter': 100, 'method': 'standard', 'n_components': 2, 'n_neighbors': 11, 'random_state': 42, 'reg': 0.01}
ISO data lbl L-ISO data lbl LAMP data lbl LE data lbl LLC data lbl LLE data lbl
coil20 H-LLE - {'eigen_solver': 'dense', 'max_iter': 100, 'method': 'hessian', 'n_components': 2, 'n_neighbors': 7, 'random_state': 42, 'reg': 0.001} coil20 M-LLE - {'eigen_solver': 'dense', 'max_iter': 100, 'method': 'modified', 'n_components': 2, 'n_neighbors': 7, 'random_state': 42, 'reg': 0.001} coil20 LMNN - {'k': 3, 'verbose': False} coil20 LPP - {'n_neighbors': 4, 'verbose': False} coil20 LSP - {'control_point_type': 'random', 'dissimilarity_type': 'euclidean', 'fraction_delta': 8.0, 'n_iterations': 100, 'n_neighbors': 16, 'verbose': False} coil20 LTSA - {'eigen_solver': 'dense', 'max_iter': 100, 'method': 'ltsa', 'n_components': 2, 'n_neighbors': 7, 'random_state': 42, 'reg': 0.001}
H-LLE data lbl M-LLE data lbl LMNN data lbl LPP data lbl LSP data lbl LTSA data lbl
coil20 L-LTSA - {'n_neighbors': 11, 'verbose': False} coil20 MC - {'max_iter': 200, 'n_analyzers': 20, 'verbose': False} coil20 MCML - {'verbose': False} coil20 MDS - {'max_iter': 500, 'metric': True, 'n_components': 2, 'n_init': 2, 'random_state': 42} coil20 L-MDS - {'n_neighbors': 4, 'verbose': False} coil20 N-MDS - {'max_iter': 300, 'metric': False, 'n_components': 2, 'n_init': 4, 'random_state': 42}
L-LTSA data lbl MC data lbl MCML data lbl MDS data lbl L-MDS data lbl N-MDS data lbl
coil20 L-MVU - {'k1': 5, 'k2': 12, 'verbose': False} coil20 NMF - {'alpha': 0.5, 'beta_loss': 'frobenius', 'init': 'nndsvdar', 'l1_ratio': 0.0, 'max_iter': 400, 'n_components': 2, 'random_state': 42} coil20 PBC - {'cluster_factor': 9.0, 'dissimilarity_type': 'euclidean', 'fraction_delta': 12.0, 'init_type': 'random', 'n_iterations': 100, 'verbose': False} coil20 PCA - {'n_components': 2, 'random_state': 42} coil20 I-PCA - {'n_components': 2} coil20 K-PCA-P - {'degree': 2, 'gamma': None, 'kernel': 'poly', 'max_iter': None, 'n_components': 2, 'random_state': 42}
L-MVU data lbl NMF data lbl PBC data lbl PCA data lbl I-PCA data lbl K-PCA-P data lbl
coil20 K-PCA-R - {'gamma': None, 'kernel': 'rbf', 'max_iter': None, 'n_components': 2, 'random_state': 42} coil20 K-PCA-S - {'degree': 3, 'gamma': None, 'kernel': 'sigmoid', 'max_iter': None, 'n_components': 2, 'random_state': 42} coil20 P-PCA - {'max_iter': 200, 'verbose': False} coil20 S-PCA - {'alpha': 0.1, 'max_iter': 1000, 'method': 'lars', 'n_components': 2, 'normalize_components': True, 'random_state': 42, 'ridge_alpha': 0.05, 'tol': 1e-08} coil20 PLSP - {'dissimilarity_type': 'euclidean', 'sample_type': 'clustering', 'verbose': False} coil20 G-RP - {'n_components': 2, 'random_state': 42}
K-PCA-R data lbl K-PCA-S data lbl P-PCA data lbl S-PCA data lbl PLSP data lbl G-RP data lbl
coil20 S-RP - {'density': 'auto', 'n_components': 2, 'random_state': 42} coil20 R-SAM - {'dissimilarity_type': 'euclidean', 'verbose': False} coil20 T-SNE - {'angle': 0.5, 'early_exaggeration': 12.0, 'init': 'random', 'learning_rate': 200.0, 'method': 'barnes_hut', 'metric': 'euclidean', 'min_grad_norm': 1e-07, 'n_components': 2, 'n_iter': 1000, 'n_iter_without_progress': 300, 'n_jobs': 4, 'perplexity': 50.0, 'random_state': 42} coil20 SPE - {'max_iter': 0, 'n_neighbors': 6, 'n_updates': 70, 'verbose': False} coil20 T-SVD - {'algorithm': 'randomized', 'n_components': 2, 'n_iter': 5, 'random_state': 42} coil20 UMAP - {'angular_rp_forest': False, 'init': 'spectral', 'metric': 'euclidean', 'min_dist': 0.001, 'n_components': 2, 'n_neighbors': 5, 'random_state': 42, 'spread': 1.0}
S-RP data lbl R-SAM data lbl T-SNE data lbl SPE data lbl T-SVD data lbl UMAP data lbl
epileptic dataset
epileptic DM - {'t': 2, 'verbose': False, 'width': 10.0} epileptic FA - {'max_iter': 1000, 'n_components': 2, 'random_state': 42} epileptic FMAP - {'dissimilarity_type': 'euclidean', 'verbose': False} epileptic GDA - {'kernel': 'linear', 'verbose': False} epileptic GPLVM - {'sigma': 0.5, 'verbose': False} epileptic F-ICA - {'fun': 'logcosh', 'max_iter': 200, 'n_components': 2, 'random_state': 42}
DM data lbl FA data lbl FMAP data lbl GDA data lbl GPLVM data lbl F-ICA data lbl
epileptic IDMAP - {'dissimilarity_type': 'euclidean', 'fraction_delta': 12.0, 'init_type': 'random', 'n_iterations': 200, 'verbose': False} epileptic ISO - {'eigen_solver': 'dense', 'n_components': 2, 'n_neighbors': 7} epileptic L-ISO - {'dissimilarity_type': 'euclidean', 'n_neighbors': 16, 'verbose': False} epileptic LAMP - {'fraction_delta': 12.0, 'n_iterations': 200, 'sample_type': 'clustering_centroid', 'verbose': False} epileptic LE - {'affinity': 'nearest_neighbors', 'n_components': 2, 'random_state': 42} epileptic LLC - {'k': 12, 'max_iter': 200, 'n_analyzers': 10, 'verbose': False}
IDMAP data lbl ISO data lbl L-ISO data lbl LAMP data lbl LE data lbl LLC data lbl
epileptic LLE - {'eigen_solver': 'dense', 'max_iter': 100, 'method': 'standard', 'n_components': 2, 'n_neighbors': 11, 'random_state': 42, 'reg': 0.001} epileptic H-LLE - {'eigen_solver': 'dense', 'max_iter': 100, 'method': 'hessian', 'n_components': 2, 'n_neighbors': 11, 'random_state': 42, 'reg': 0.001} epileptic M-LLE - {'eigen_solver': 'dense', 'max_iter': 100, 'method': 'modified', 'n_components': 2, 'n_neighbors': 11, 'random_state': 42, 'reg': 0.001} epileptic LPP - {'n_neighbors': 11, 'verbose': False} epileptic LTSA - {'eigen_solver': 'dense', 'max_iter': 100, 'method': 'ltsa', 'n_components': 2, 'n_neighbors': 11, 'random_state': 42, 'reg': 0.001} epileptic L-LTSA - {'n_neighbors': 4, 'verbose': False}
LLE data lbl H-LLE data lbl M-LLE data lbl LPP data lbl LTSA data lbl L-LTSA data lbl
epileptic MC - {'max_iter': 400, 'n_analyzers': 10, 'verbose': False} epileptic MCML - {'verbose': False} epileptic MDS - {'max_iter': 500, 'metric': True, 'n_components': 2, 'n_init': 2, 'random_state': 42} epileptic L-MDS - {'n_neighbors': 4, 'verbose': False} epileptic N-MDS - {'max_iter': 300, 'metric': False, 'n_components': 2, 'n_init': 2, 'random_state': 42} epileptic L-MVU - {'k1': 5, 'k2': 8, 'verbose': False}
MC data lbl MCML data lbl MDS data lbl L-MDS data lbl N-MDS data lbl L-MVU data lbl
epileptic NMF - {'alpha': 0, 'beta_loss': 'frobenius', 'init': 'random', 'l1_ratio': 0.0, 'max_iter': 200, 'n_components': 2, 'random_state': 42} epileptic PBC - {'cluster_factor': 9.0, 'dissimilarity_type': 'euclidean', 'fraction_delta': 12.0, 'init_type': 'random', 'n_iterations': 100, 'verbose': False} epileptic PCA - {'n_components': 2, 'random_state': 42} epileptic I-PCA - {'n_components': 2} epileptic K-PCA-P - {'degree': 3, 'gamma': None, 'kernel': 'poly', 'max_iter': None, 'n_components': 2, 'random_state': 42} epileptic K-PCA-R - {'gamma': 0.05, 'kernel': 'rbf', 'max_iter': None, 'n_components': 2, 'random_state': 42}
NMF data lbl PBC data lbl PCA data lbl I-PCA data lbl K-PCA-P data lbl K-PCA-R data lbl
epileptic K-PCA-S - {'degree': 3, 'gamma': None, 'kernel': 'sigmoid', 'max_iter': None, 'n_components': 2, 'random_state': 42} epileptic P-PCA - {'max_iter': 400, 'verbose': False} epileptic S-PCA - {'alpha': 0.5, 'max_iter': 1000, 'method': 'lars', 'n_components': 2, 'normalize_components': True, 'random_state': 42, 'ridge_alpha': 0.05, 'tol': 1e-08} epileptic PLSP - {'dissimilarity_type': 'euclidean', 'sample_type': 'clustering', 'verbose': False} epileptic G-RP - {'n_components': 2, 'random_state': 42} epileptic S-RP - {'density': 'auto', 'n_components': 2, 'random_state': 42}
K-PCA-S data lbl P-PCA data lbl S-PCA data lbl PLSP data lbl G-RP data lbl S-RP data lbl
epileptic R-SAM - {'dissimilarity_type': 'euclidean', 'verbose': False} epileptic T-SNE - {'angle': 0.5, 'early_exaggeration': 12.0, 'init': 'random', 'learning_rate': 200.0, 'method': 'barnes_hut', 'metric': 'euclidean', 'min_grad_norm': 1e-07, 'n_components': 2, 'n_iter': 1000, 'n_iter_without_progress': 300, 'n_jobs': 4, 'perplexity': 50.0, 'random_state': 42} epileptic SPE - {'max_iter': 0, 'n_neighbors': 6, 'n_updates': 70, 'verbose': False} epileptic T-SVD - {'algorithm': 'randomized', 'n_components': 2, 'n_iter': 5, 'random_state': 42} epileptic UMAP - {'angular_rp_forest': False, 'init': 'spectral', 'metric': 'euclidean', 'min_dist': 0.001, 'n_components': 2, 'n_neighbors': 5, 'random_state': 42, 'spread': 1.0}
R-SAM data lbl T-SNE data lbl SPE data lbl T-SVD data lbl UMAP data lbl
fashion_mnist dataset
fashion_mnist DM - {'t': 5, 'verbose': False, 'width': 10.0} fashion_mnist FA - {'max_iter': 1000, 'n_components': 2, 'random_state': 42} fashion_mnist FMAP - {'dissimilarity_type': 'euclidean', 'verbose': False} fashion_mnist GDA - {'kernel': 'linear', 'verbose': False} fashion_mnist GPLVM - {'sigma': 0.5, 'verbose': False} fashion_mnist F-ICA - {'fun': 'logcosh', 'max_iter': 200, 'n_components': 2, 'random_state': 42}
DM data lbl FA data lbl FMAP data lbl GDA data lbl GPLVM data lbl F-ICA data lbl
fashion_mnist IDMAP - {'dissimilarity_type': 'euclidean', 'fraction_delta': 12.0, 'init_type': 'random', 'n_iterations': 200, 'verbose': False} fashion_mnist ISO - {'eigen_solver': 'dense', 'n_components': 2, 'n_neighbors': 7} fashion_mnist L-ISO - {'dissimilarity_type': 'euclidean', 'n_neighbors': 8, 'verbose': False} fashion_mnist LAMP - {'fraction_delta': 12.0, 'n_iterations': 200, 'sample_type': 'clustering_centroid', 'verbose': False} fashion_mnist LE - {'affinity': 'nearest_neighbors', 'n_components': 2, 'random_state': 42} fashion_mnist LLC - {'k': 8, 'max_iter': 200, 'n_analyzers': 10, 'verbose': False}
IDMAP data lbl ISO data lbl L-ISO data lbl LAMP data lbl LE data lbl LLC data lbl
fashion_mnist LLE - {'eigen_solver': 'dense', 'max_iter': 100, 'method': 'standard', 'n_components': 2, 'n_neighbors': 11, 'random_state': 42, 'reg': 0.01} fashion_mnist H-LLE - {'eigen_solver': 'dense', 'max_iter': 100, 'method': 'hessian', 'n_components': 2, 'n_neighbors': 7, 'random_state': 42, 'reg': 0.001} fashion_mnist M-LLE - {'eigen_solver': 'dense', 'max_iter': 100, 'method': 'modified', 'n_components': 2, 'n_neighbors': 11, 'random_state': 42, 'reg': 0.001} fashion_mnist LMNN - {'k': 5, 'verbose': False} fashion_mnist LPP - {'n_neighbors': 4, 'verbose': False} fashion_mnist LSP - {'control_point_type': 'kmeans', 'dissimilarity_type': 'euclidean', 'fraction_delta': 12.0, 'n_iterations': 100, 'n_neighbors': 16, 'verbose': False}
LLE data lbl H-LLE data lbl M-LLE data lbl LMNN data lbl LPP data lbl LSP data lbl
fashion_mnist LTSA - {'eigen_solver': 'dense', 'max_iter': 100, 'method': 'ltsa', 'n_components': 2, 'n_neighbors': 7, 'random_state': 42, 'reg': 0.001} fashion_mnist L-LTSA - {'n_neighbors': 11, 'verbose': False} fashion_mnist MC - {'max_iter': 400, 'n_analyzers': 10, 'verbose': False} fashion_mnist MDS - {'max_iter': 300, 'metric': True, 'n_components': 2, 'n_init': 2, 'random_state': 42} fashion_mnist L-MDS - {'n_neighbors': 11, 'verbose': False} fashion_mnist N-MDS - {'max_iter': 300, 'metric': False, 'n_components': 2, 'n_init': 2, 'random_state': 42}
LTSA data lbl L-LTSA data lbl MC data lbl MDS data lbl L-MDS data lbl N-MDS data lbl
fashion_mnist L-MVU - {'k1': 3, 'k2': 15, 'verbose': False} fashion_mnist NMF - {'alpha': 0.5, 'beta_loss': 'frobenius', 'init': 'random', 'l1_ratio': 0.0, 'max_iter': 400, 'n_components': 2, 'random_state': 42} fashion_mnist PBC - {'cluster_factor': 9.0, 'dissimilarity_type': 'euclidean', 'fraction_delta': 12.0, 'init_type': 'fastmap', 'n_iterations': 100, 'verbose': False} fashion_mnist PCA - {'n_components': 2, 'random_state': 42} fashion_mnist I-PCA - {'n_components': 2} fashion_mnist K-PCA-P - {'degree': 2, 'gamma': None, 'kernel': 'poly', 'max_iter': None, 'n_components': 2, 'random_state': 42}
L-MVU data lbl NMF data lbl PBC data lbl PCA data lbl I-PCA data lbl K-PCA-P data lbl
fashion_mnist K-PCA-R - {'gamma': None, 'kernel': 'rbf', 'max_iter': None, 'n_components': 2, 'random_state': 42} fashion_mnist K-PCA-S - {'degree': 3, 'gamma': None, 'kernel': 'sigmoid', 'max_iter': None, 'n_components': 2, 'random_state': 42} fashion_mnist P-PCA - {'max_iter': 200, 'verbose': False} fashion_mnist S-PCA - {'alpha': 0.1, 'max_iter': 1000, 'method': 'lars', 'n_components': 2, 'normalize_components': True, 'random_state': 42, 'ridge_alpha': 0.05, 'tol': 1e-08} fashion_mnist PLSP - {'dissimilarity_type': 'euclidean', 'sample_type': 'clustering', 'verbose': False} fashion_mnist G-RP - {'n_components': 2, 'random_state': 42}
K-PCA-R data lbl K-PCA-S data lbl P-PCA data lbl S-PCA data lbl PLSP data lbl G-RP data lbl
fashion_mnist S-RP - {'density': 'auto', 'n_components': 2, 'random_state': 42} fashion_mnist R-SAM - {'dissimilarity_type': 'euclidean', 'verbose': False} fashion_mnist T-SNE - {'angle': 0.5, 'early_exaggeration': 18.0, 'init': 'random', 'learning_rate': 200.0, 'method': 'barnes_hut', 'metric': 'euclidean', 'min_grad_norm': 1e-07, 'n_components': 2, 'n_iter': 3000, 'n_iter_without_progress': 300, 'n_jobs': 4, 'perplexity': 50.0, 'random_state': 42} fashion_mnist SPE - {'max_iter': 0, 'n_neighbors': 18, 'n_updates': 70, 'verbose': False} fashion_mnist T-SVD - {'algorithm': 'randomized', 'n_components': 2, 'n_iter': 5, 'random_state': 42} fashion_mnist UMAP - {'angular_rp_forest': False, 'init': 'spectral', 'metric': 'euclidean', 'min_dist': 0.5, 'n_components': 2, 'n_neighbors': 5, 'random_state': 42, 'spread': 1.0}
S-RP data lbl R-SAM data lbl T-SNE data lbl SPE data lbl T-SVD data lbl UMAP data lbl
fmd dataset
fmd DM - {'t': 2, 'verbose': False, 'width': 10.0} fmd FA - {'max_iter': 1000, 'n_components': 2, 'random_state': 42} fmd FMAP - {'dissimilarity_type': 'euclidean', 'verbose': False} fmd GPLVM - {'sigma': 0.5, 'verbose': False} fmd F-ICA - {'fun': 'logcosh', 'max_iter': 200, 'n_components': 2, 'random_state': 42} fmd IDMAP - {'dissimilarity_type': 'euclidean', 'fraction_delta': 8.0, 'init_type': 'random', 'n_iterations': 100, 'verbose': False}
DM data lbl FA data lbl FMAP data lbl GPLVM data lbl F-ICA data lbl IDMAP data lbl
fmd ISO - {'eigen_solver': 'dense', 'n_components': 2, 'n_neighbors': 7} fmd L-ISO - {'dissimilarity_type': 'euclidean', 'n_neighbors': 4, 'verbose': False} fmd LAMP - {'fraction_delta': 2.0, 'n_iterations': 100, 'sample_type': 'clustering_centroid', 'verbose': False} fmd LE - {'affinity': 'nearest_neighbors', 'n_components': 2, 'random_state': 42} fmd LLC - {'k': 8, 'max_iter': 200, 'n_analyzers': 10, 'verbose': False} fmd LLE - {'eigen_solver': 'dense', 'max_iter': 100, 'method': 'standard', 'n_components': 2, 'n_neighbors': 7, 'random_state': 42, 'reg': 0.01}
ISO data lbl L-ISO data lbl LAMP data lbl LE data lbl LLC data lbl LLE data lbl
fmd H-LLE - {'eigen_solver': 'dense', 'max_iter': 100, 'method': 'hessian', 'n_components': 2, 'n_neighbors': 7, 'random_state': 42, 'reg': 0.001} fmd M-LLE - {'eigen_solver': 'dense', 'max_iter': 100, 'method': 'modified', 'n_components': 2, 'n_neighbors': 11, 'random_state': 42, 'reg': 0.001} fmd LMNN - {'k': 5, 'verbose': False} fmd LPP - {'n_neighbors': 11, 'verbose': False} fmd LSP - {'control_point_type': 'random', 'dissimilarity_type': 'euclidean', 'fraction_delta': 12.0, 'n_iterations': 100, 'n_neighbors': 16, 'verbose': False} fmd LTSA - {'eigen_solver': 'dense', 'max_iter': 100, 'method': 'ltsa', 'n_components': 2, 'n_neighbors': 11, 'random_state': 42, 'reg': 0.001}
H-LLE data lbl M-LLE data lbl LMNN data lbl LPP data lbl LSP data lbl LTSA data lbl
fmd L-LTSA - {'n_neighbors': 11, 'verbose': False} fmd MC - {'max_iter': 200, 'n_analyzers': 10, 'verbose': False} fmd MCML - {'verbose': False} fmd MDS - {'max_iter': 500, 'metric': True, 'n_components': 2, 'n_init': 2, 'random_state': 42} fmd L-MDS - {'n_neighbors': 7, 'verbose': False} fmd N-MDS - {'max_iter': 300, 'metric': False, 'n_components': 2, 'n_init': 2, 'random_state': 42}
L-LTSA data lbl MC data lbl MCML data lbl MDS data lbl L-MDS data lbl N-MDS data lbl
fmd L-MVU - {'k1': 3, 'k2': 8, 'verbose': False} fmd NMF - {'alpha': 0.5, 'beta_loss': 'frobenius', 'init': 'random', 'l1_ratio': 0.5, 'max_iter': 400, 'n_components': 2, 'random_state': 42} fmd PBC - {'cluster_factor': 9.0, 'dissimilarity_type': 'euclidean', 'fraction_delta': 12.0, 'init_type': 'fastmap', 'n_iterations': 200, 'verbose': False} fmd PCA - {'n_components': 2, 'random_state': 42} fmd I-PCA - {'n_components': 2} fmd K-PCA-P - {'degree': 2, 'gamma': 0.05, 'kernel': 'poly', 'max_iter': None, 'n_components': 2, 'random_state': 42}
L-MVU data lbl NMF data lbl PBC data lbl PCA data lbl I-PCA data lbl K-PCA-P data lbl
fmd K-PCA-R - {'gamma': None, 'kernel': 'rbf', 'max_iter': None, 'n_components': 2, 'random_state': 42} fmd K-PCA-S - {'degree': 3, 'gamma': None, 'kernel': 'sigmoid', 'max_iter': None, 'n_components': 2, 'random_state': 42} fmd P-PCA - {'max_iter': 400, 'verbose': False} fmd S-PCA - {'alpha': 0.1, 'max_iter': 1000, 'method': 'lars', 'n_components': 2, 'normalize_components': True, 'random_state': 42, 'ridge_alpha': 0.05, 'tol': 1e-08} fmd G-RP - {'n_components': 2, 'random_state': 42} fmd S-RP - {'density': 'auto', 'n_components': 2, 'random_state': 42}
K-PCA-R data lbl K-PCA-S data lbl P-PCA data lbl S-PCA data lbl G-RP data lbl S-RP data lbl
fmd R-SAM - {'dissimilarity_type': 'euclidean', 'verbose': False} fmd T-SNE - {'angle': 0.5, 'early_exaggeration': 12.0, 'init': 'random', 'learning_rate': 200.0, 'method': 'barnes_hut', 'metric': 'euclidean', 'min_grad_norm': 1e-07, 'n_components': 2, 'n_iter': 3000, 'n_iter_without_progress': 300, 'n_jobs': 4, 'perplexity': 50.0, 'random_state': 42} fmd SPE - {'max_iter': 0, 'n_neighbors': 12, 'n_updates': 70, 'verbose': False} fmd T-SVD - {'algorithm': 'randomized', 'n_components': 2, 'n_iter': 5, 'random_state': 42} fmd UMAP - {'angular_rp_forest': False, 'init': 'spectral', 'metric': 'euclidean', 'min_dist': 0.5, 'n_components': 2, 'n_neighbors': 15, 'random_state': 42, 'spread': 1.0}
R-SAM data lbl T-SNE data lbl SPE data lbl T-SVD data lbl UMAP data lbl
har dataset
har DM - {'t': 5, 'verbose': False, 'width': 10.0} har FA - {'max_iter': 1000, 'n_components': 2, 'random_state': 42} har FMAP - {'dissimilarity_type': 'euclidean', 'verbose': False} har GDA - {'kernel': 'linear', 'verbose': False} har GPLVM - {'sigma': 0.5, 'verbose': False} har F-ICA - {'fun': 'exp', 'max_iter': 200, 'n_components': 2, 'random_state': 42}
DM data lbl FA data lbl FMAP data lbl GDA data lbl GPLVM data lbl F-ICA data lbl
har IDMAP - {'dissimilarity_type': 'euclidean', 'fraction_delta': 12.0, 'init_type': 'random', 'n_iterations': 200, 'verbose': False} har ISO - {'eigen_solver': 'dense', 'n_components': 2, 'n_neighbors': 7} har L-ISO - {'dissimilarity_type': 'euclidean', 'n_neighbors': 8, 'verbose': False} har LAMP - {'fraction_delta': 12.0, 'n_iterations': 200, 'sample_type': 'random', 'verbose': False} har LE - {'affinity': 'nearest_neighbors', 'n_components': 2, 'random_state': 42} har LLC - {'k': 12, 'max_iter': 400, 'n_analyzers': 10, 'verbose': False}
IDMAP data lbl ISO data lbl L-ISO data lbl LAMP data lbl LE data lbl LLC data lbl
har LLE - {'eigen_solver': 'dense', 'max_iter': 100, 'method': 'standard', 'n_components': 2, 'n_neighbors': 5, 'random_state': 42, 'reg': 0.01} har H-LLE - {'eigen_solver': 'dense', 'max_iter': 100, 'method': 'hessian', 'n_components': 2, 'n_neighbors': 7, 'random_state': 42, 'reg': 0.001} har M-LLE - {'eigen_solver': 'dense', 'max_iter': 100, 'method': 'modified', 'n_components': 2, 'n_neighbors': 11, 'random_state': 42, 'reg': 0.001} har LMNN - {'k': 7, 'verbose': False} har LPP - {'n_neighbors': 4, 'verbose': False} har LSP - {'control_point_type': 'random', 'dissimilarity_type': 'euclidean', 'fraction_delta': 2.0, 'n_iterations': 100, 'n_neighbors': 16, 'verbose': False}
LLE data lbl H-LLE data lbl M-LLE data lbl LMNN data lbl LPP data lbl LSP data lbl
har LTSA - {'eigen_solver': 'dense', 'max_iter': 100, 'method': 'ltsa', 'n_components': 2, 'n_neighbors': 7, 'random_state': 42, 'reg': 0.001} har L-LTSA - {'n_neighbors': 11, 'verbose': False} har MC - {'max_iter': 200, 'n_analyzers': 10, 'verbose': False} har MCML - {'verbose': False} har MDS - {'max_iter': 500, 'metric': True, 'n_components': 2, 'n_init': 2, 'random_state': 42} har L-MDS - {'n_neighbors': 7, 'verbose': False}
LTSA data lbl L-LTSA data lbl MC data lbl MCML data lbl MDS data lbl L-MDS data lbl
har N-MDS - {'max_iter': 300, 'metric': False, 'n_components': 2, 'n_init': 4, 'random_state': 42} har L-MVU - {'k1': 7, 'k2': 12, 'verbose': False} har NMF - {'alpha': 0.5, 'beta_loss': 'frobenius', 'init': 'nndsvdar', 'l1_ratio': 0.0, 'max_iter': 200, 'n_components': 2, 'random_state': 42} har PBC - {'cluster_factor': 9.0, 'dissimilarity_type': 'euclidean', 'fraction_delta': 8.0, 'init_type': 'random', 'n_iterations': 100, 'verbose': False} har PCA - {'n_components': 2, 'random_state': 42} har I-PCA - {'n_components': 2}
N-MDS data lbl L-MVU data lbl NMF data lbl PBC data lbl PCA data lbl I-PCA data lbl
har K-PCA-P - {'degree': 2, 'gamma': None, 'kernel': 'poly', 'max_iter': None, 'n_components': 2, 'random_state': 42} har K-PCA-R - {'gamma': None, 'kernel': 'rbf', 'max_iter': None, 'n_components': 2, 'random_state': 42} har K-PCA-S - {'degree': 3, 'gamma': None, 'kernel': 'sigmoid', 'max_iter': None, 'n_components': 2, 'random_state': 42} har P-PCA - {'max_iter': 400, 'verbose': False} har S-PCA - {'alpha': 0.5, 'max_iter': 1000, 'method': 'lars', 'n_components': 2, 'normalize_components': True, 'random_state': 42, 'ridge_alpha': 0.05, 'tol': 1e-08} har PLSP - {'dissimilarity_type': 'euclidean', 'sample_type': 'clustering', 'verbose': False}
K-PCA-P data lbl K-PCA-R data lbl K-PCA-S data lbl P-PCA data lbl S-PCA data lbl PLSP data lbl
har G-RP - {'n_components': 2, 'random_state': 42} har S-RP - {'density': 'auto', 'n_components': 2, 'random_state': 42} har R-SAM - {'dissimilarity_type': 'euclidean', 'verbose': False} har T-SNE - {'angle': 0.5, 'early_exaggeration': 6.0, 'init': 'random', 'learning_rate': 200.0, 'method': 'barnes_hut', 'metric': 'euclidean', 'min_grad_norm': 1e-07, 'n_components': 2, 'n_iter': 1000, 'n_iter_without_progress': 300, 'n_jobs': 4, 'perplexity': 30.0, 'random_state': 42} har SPE - {'max_iter': 0, 'n_neighbors': 6, 'n_updates': 70, 'verbose': False} har T-SVD - {'algorithm': 'randomized', 'n_components': 2, 'n_iter': 5, 'random_state': 42}
G-RP data lbl S-RP data lbl R-SAM data lbl T-SNE data lbl SPE data lbl T-SVD data lbl
har UMAP - {'angular_rp_forest': False, 'init': 'random', 'metric': 'euclidean', 'min_dist': 0.001, 'n_components': 2, 'n_neighbors': 5, 'random_state': 42, 'spread': 1.0}
UMAP data lbl
hatespeech dataset
hatespeech DM - {'t': 2, 'verbose': False, 'width': 1.0} hatespeech FA - {'max_iter': 1000, 'n_components': 2, 'random_state': 42} hatespeech FMAP - {'dissimilarity_type': 'euclidean', 'verbose': False} hatespeech GDA - {'kernel': 'linear', 'verbose': False} hatespeech GPLVM - {'sigma': 1.0, 'verbose': False} hatespeech F-ICA - {'fun': 'exp', 'max_iter': 200, 'n_components': 2, 'random_state': 42}
DM data lbl FA data lbl FMAP data lbl GDA data lbl GPLVM data lbl F-ICA data lbl
hatespeech IDMAP - {'dissimilarity_type': 'euclidean', 'fraction_delta': 12.0, 'init_type': 'random', 'n_iterations': 200, 'verbose': False} hatespeech ISO - {'eigen_solver': 'dense', 'n_components': 2, 'n_neighbors': 5} hatespeech L-ISO - {'dissimilarity_type': 'euclidean', 'n_neighbors': 16, 'verbose': False} hatespeech LAMP - {'fraction_delta': 8.0, 'n_iterations': 200, 'sample_type': 'random', 'verbose': False} hatespeech LE - {'affinity': 'nearest_neighbors', 'n_components': 2, 'random_state': 42} hatespeech LLC - {'k': 8, 'max_iter': 200, 'n_analyzers': 10, 'verbose': False}
IDMAP data lbl ISO data lbl L-ISO data lbl LAMP data lbl LE data lbl LLC data lbl
hatespeech LLE - {'eigen_solver': 'dense', 'max_iter': 100, 'method': 'standard', 'n_components': 2, 'n_neighbors': 5, 'random_state': 42, 'reg': 0.001} hatespeech H-LLE - {'eigen_solver': 'dense', 'max_iter': 100, 'method': 'hessian', 'n_components': 2, 'n_neighbors': 11, 'random_state': 42, 'reg': 0.001} hatespeech M-LLE - {'eigen_solver': 'dense', 'max_iter': 100, 'method': 'modified', 'n_components': 2, 'n_neighbors': 5, 'random_state': 42, 'reg': 0.001} hatespeech LMNN - {'k': 7, 'verbose': False} hatespeech LPP - {'n_neighbors': 4, 'verbose': False} hatespeech LSP - {'control_point_type': 'kmeans', 'dissimilarity_type': 'euclidean', 'fraction_delta': 12.0, 'n_iterations': 200, 'n_neighbors': 16, 'verbose': False}
LLE data lbl H-LLE data lbl M-LLE data lbl LMNN data lbl LPP data lbl LSP data lbl
hatespeech LTSA - {'eigen_solver': 'dense', 'max_iter': 100, 'method': 'ltsa', 'n_components': 2, 'n_neighbors': 11, 'random_state': 42, 'reg': 0.001} hatespeech L-LTSA - {'n_neighbors': 11, 'verbose': False} hatespeech MC - {'max_iter': 200, 'n_analyzers': 20, 'verbose': False} hatespeech MCML - {'verbose': False} hatespeech MDS - {'max_iter': 500, 'metric': True, 'n_components': 2, 'n_init': 4, 'random_state': 42} hatespeech L-MDS - {'n_neighbors': 7, 'verbose': False}
LTSA data lbl L-LTSA data lbl MC data lbl MCML data lbl MDS data lbl L-MDS data lbl
hatespeech N-MDS - {'max_iter': 300, 'metric': False, 'n_components': 2, 'n_init': 4, 'random_state': 42} hatespeech NMF - {'alpha': 0, 'beta_loss': 'frobenius', 'init': 'random', 'l1_ratio': 0.0, 'max_iter': 200, 'n_components': 2, 'random_state': 42} hatespeech PBC - {'cluster_factor': 9.0, 'dissimilarity_type': 'euclidean', 'fraction_delta': 12.0, 'init_type': 'random', 'n_iterations': 200, 'verbose': False} hatespeech PCA - {'n_components': 2, 'random_state': 42} hatespeech I-PCA - {'n_components': 2} hatespeech K-PCA-P - {'degree': 3, 'gamma': 0.05, 'kernel': 'poly', 'max_iter': None, 'n_components': 2, 'random_state': 42}
N-MDS data lbl NMF data lbl PBC data lbl PCA data lbl I-PCA data lbl K-PCA-P data lbl
hatespeech K-PCA-R - {'gamma': None, 'kernel': 'rbf', 'max_iter': None, 'n_components': 2, 'random_state': 42} hatespeech K-PCA-S - {'degree': 3, 'gamma': 0.5, 'kernel': 'sigmoid', 'max_iter': None, 'n_components': 2, 'random_state': 42} hatespeech P-PCA - {'max_iter': 400, 'verbose': False} hatespeech S-PCA - {'alpha': 0.1, 'max_iter': 1000, 'method': 'lars', 'n_components': 2, 'normalize_components': True, 'random_state': 42, 'ridge_alpha': 0.5, 'tol': 1e-08} hatespeech G-RP - {'n_components': 2, 'random_state': 42} hatespeech S-RP - {'density': 'auto', 'n_components': 2, 'random_state': 42}
K-PCA-R data lbl K-PCA-S data lbl P-PCA data lbl S-PCA data lbl G-RP data lbl S-RP data lbl
hatespeech T-SNE - {'angle': 0.5, 'early_exaggeration': 12.0, 'init': 'random', 'learning_rate': 200.0, 'method': 'barnes_hut', 'metric': 'euclidean', 'min_grad_norm': 1e-07, 'n_components': 2, 'n_iter': 3000, 'n_iter_without_progress': 300, 'n_jobs': 4, 'perplexity': 30.0, 'random_state': 42} hatespeech SPE - {'max_iter': 0, 'n_neighbors': 6, 'n_updates': 70, 'verbose': False} hatespeech T-SVD - {'algorithm': 'randomized', 'n_components': 2, 'n_iter': 10, 'random_state': 42} hatespeech UMAP - {'angular_rp_forest': False, 'init': 'spectral', 'metric': 'euclidean', 'min_dist': 0.1, 'n_components': 2, 'n_neighbors': 15, 'random_state': 42, 'spread': 1.0}
T-SNE data lbl SPE data lbl T-SVD data lbl UMAP data lbl
hiva dataset
hiva FA - {'max_iter': 1000, 'n_components': 2, 'random_state': 42} hiva FMAP - {'dissimilarity_type': 'euclidean', 'verbose': False} hiva GDA - {'kernel': 'linear', 'verbose': False} hiva GPLVM - {'sigma': 0.5, 'verbose': False} hiva F-ICA - {'fun': 'logcosh', 'max_iter': 200, 'n_components': 2, 'random_state': 42} hiva IDMAP - {'dissimilarity_type': 'euclidean', 'fraction_delta': 12.0, 'init_type': 'fastmap', 'n_iterations': 100, 'verbose': False}
FA data lbl FMAP data lbl GDA data lbl GPLVM data lbl F-ICA data lbl IDMAP data lbl
hiva ISO - {'eigen_solver': 'dense', 'n_components': 2, 'n_neighbors': 7} hiva L-ISO - {'dissimilarity_type': 'euclidean', 'n_neighbors': 8, 'verbose': False} hiva LAMP - {'fraction_delta': 2.0, 'n_iterations': 100, 'sample_type': 'clustering_centroid', 'verbose': False} hiva LE - {'affinity': 'nearest_neighbors', 'n_components': 2, 'random_state': 42} hiva LLC - {'k': 8, 'max_iter': 400, 'n_analyzers': 10, 'verbose': False} hiva LLE - {'eigen_solver': 'dense', 'max_iter': 100, 'method': 'standard', 'n_components': 2, 'n_neighbors': 5, 'random_state': 42, 'reg': 0.1}
ISO data lbl L-ISO data lbl LAMP data lbl LE data lbl LLC data lbl LLE data lbl
hiva H-LLE - {'eigen_solver': 'dense', 'max_iter': 100, 'method': 'hessian', 'n_components': 2, 'n_neighbors': 11, 'random_state': 42, 'reg': 0.001} hiva M-LLE - {'eigen_solver': 'dense', 'max_iter': 100, 'method': 'modified', 'n_components': 2, 'n_neighbors': 11, 'random_state': 42, 'reg': 0.001} hiva LMNN - {'k': 5, 'verbose': False} hiva LPP - {'n_neighbors': 4, 'verbose': False} hiva LSP - {'control_point_type': 'kmeans', 'dissimilarity_type': 'euclidean', 'fraction_delta': 12.0, 'n_iterations': 100, 'n_neighbors': 16, 'verbose': False} hiva LTSA - {'eigen_solver': 'dense', 'max_iter': 100, 'method': 'ltsa', 'n_components': 2, 'n_neighbors': 7, 'random_state': 42, 'reg': 0.001}
H-LLE data lbl M-LLE data lbl LMNN data lbl LPP data lbl LSP data lbl LTSA data lbl
hiva L-LTSA - {'n_neighbors': 11, 'verbose': False} hiva MC - {'max_iter': 400, 'n_analyzers': 10, 'verbose': False} hiva MDS - {'max_iter': 500, 'metric': True, 'n_components': 2, 'n_init': 4, 'random_state': 42} hiva L-MDS - {'n_neighbors': 7, 'verbose': False} hiva N-MDS - {'max_iter': 300, 'metric': False, 'n_components': 2, 'n_init': 4, 'random_state': 42} hiva L-MVU - {'k1': 5, 'k2': 8, 'verbose': False}
L-LTSA data lbl MC data lbl MDS data lbl L-MDS data lbl N-MDS data lbl L-MVU data lbl
hiva NMF - {'alpha': 0.5, 'beta_loss': 'frobenius', 'init': 'nndsvdar', 'l1_ratio': 0.0, 'max_iter': 400, 'n_components': 2, 'random_state': 42} hiva PBC - {'cluster_factor': 9.0, 'dissimilarity_type': 'euclidean', 'fraction_delta': 12.0, 'init_type': 'fastmap', 'n_iterations': 100, 'verbose': False} hiva PCA - {'n_components': 2, 'random_state': 42} hiva I-PCA - {'n_components': 2} hiva K-PCA-P - {'degree': 2, 'gamma': 0.05, 'kernel': 'poly', 'max_iter': None, 'n_components': 2, 'random_state': 42} hiva K-PCA-R - {'gamma': None, 'kernel': 'rbf', 'max_iter': None, 'n_components': 2, 'random_state': 42}
NMF data lbl PBC data lbl PCA data lbl I-PCA data lbl K-PCA-P data lbl K-PCA-R data lbl
hiva K-PCA-S - {'degree': 3, 'gamma': None, 'kernel': 'sigmoid', 'max_iter': None, 'n_components': 2, 'random_state': 42} hiva P-PCA - {'max_iter': 400, 'verbose': False} hiva S-PCA - {'alpha': 0.01, 'max_iter': 1000, 'method': 'lars', 'n_components': 2, 'normalize_components': True, 'random_state': 42, 'ridge_alpha': 0.5, 'tol': 1e-08} hiva PLSP - {'dissimilarity_type': 'euclidean', 'sample_type': 'clustering', 'verbose': False} hiva G-RP - {'n_components': 2, 'random_state': 42} hiva S-RP - {'density': 'auto', 'n_components': 2, 'random_state': 42}
K-PCA-S data lbl P-PCA data lbl S-PCA data lbl PLSP data lbl G-RP data lbl S-RP data lbl
hiva R-SAM - {'dissimilarity_type': 'euclidean', 'verbose': False} hiva T-SNE - {'angle': 0.5, 'early_exaggeration': 6.0, 'init': 'random', 'learning_rate': 200.0, 'method': 'barnes_hut', 'metric': 'euclidean', 'min_grad_norm': 1e-07, 'n_components': 2, 'n_iter': 1000, 'n_iter_without_progress': 300, 'n_jobs': 4, 'perplexity': 50.0, 'random_state': 42} hiva SPE - {'max_iter': 0, 'n_neighbors': 6, 'n_updates': 70, 'verbose': False} hiva T-SVD - {'algorithm': 'randomized', 'n_components': 2, 'n_iter': 10, 'random_state': 42} hiva UMAP - {'angular_rp_forest': False, 'init': 'spectral', 'metric': 'euclidean', 'min_dist': 0.1, 'n_components': 2, 'n_neighbors': 15, 'random_state': 42, 'spread': 1.0}
R-SAM data lbl T-SNE data lbl SPE data lbl T-SVD data lbl UMAP data lbl
imdb dataset
imdb DM - {'t': 10, 'verbose': False, 'width': 1.0} imdb FA - {'max_iter': 1000, 'n_components': 2, 'random_state': 42} imdb FMAP - {'dissimilarity_type': 'euclidean', 'verbose': False} imdb GDA - {'kernel': 'linear', 'verbose': False} imdb GPLVM - {'sigma': 0.5, 'verbose': False} imdb F-ICA - {'fun': 'logcosh', 'max_iter': 200, 'n_components': 2, 'random_state': 42}
DM data lbl FA data lbl FMAP data lbl GDA data lbl GPLVM data lbl F-ICA data lbl
imdb IDMAP - {'dissimilarity_type': 'euclidean', 'fraction_delta': 12.0, 'init_type': 'random', 'n_iterations': 200, 'verbose': False} imdb ISO - {'eigen_solver': 'dense', 'n_components': 2, 'n_neighbors': 3} imdb L-ISO - {'dissimilarity_type': 'euclidean', 'n_neighbors': 4, 'verbose': False} imdb LAMP - {'fraction_delta': 8.0, 'n_iterations': 100, 'sample_type': 'random', 'verbose': False} imdb LE - {'affinity': 'nearest_neighbors', 'n_components': 2, 'random_state': 42} imdb LLC - {'k': 8, 'max_iter': 400, 'n_analyzers': 10, 'verbose': False}
IDMAP data lbl ISO data lbl L-ISO data lbl LAMP data lbl LE data lbl LLC data lbl
imdb LLE - {'eigen_solver': 'dense', 'max_iter': 100, 'method': 'standard', 'n_components': 2, 'n_neighbors': 5, 'random_state': 42, 'reg': 0.1} imdb H-LLE - {'eigen_solver': 'dense', 'max_iter': 100, 'method': 'hessian', 'n_components': 2, 'n_neighbors': 11, 'random_state': 42, 'reg': 0.001} imdb M-LLE - {'eigen_solver': 'dense', 'max_iter': 100, 'method': 'modified', 'n_components': 2, 'n_neighbors': 5, 'random_state': 42, 'reg': 0.001} imdb LMNN - {'k': 3, 'verbose': False} imdb LPP - {'n_neighbors': 11, 'verbose': False} imdb LSP - {'control_point_type': 'random', 'dissimilarity_type': 'euclidean', 'fraction_delta': 12.0, 'n_iterations': 100, 'n_neighbors': 16, 'verbose': False}
LLE data lbl H-LLE data lbl M-LLE data lbl LMNN data lbl LPP data lbl LSP data lbl
imdb LTSA - {'eigen_solver': 'dense', 'max_iter': 100, 'method': 'ltsa', 'n_components': 2, 'n_neighbors': 11, 'random_state': 42, 'reg': 0.001} imdb L-LTSA - {'n_neighbors': 7, 'verbose': False} imdb MC - {'max_iter': 400, 'n_analyzers': 20, 'verbose': False} imdb MCML - {'verbose': False} imdb MDS - {'max_iter': 500, 'metric': True, 'n_components': 2, 'n_init': 2, 'random_state': 42} imdb L-MDS - {'n_neighbors': 7, 'verbose': False}
LTSA data lbl L-LTSA data lbl MC data lbl MCML data lbl MDS data lbl L-MDS data lbl
imdb N-MDS - {'max_iter': 300, 'metric': False, 'n_components': 2, 'n_init': 2, 'random_state': 42} imdb L-MVU - {'k1': 7, 'k2': 15, 'verbose': False} imdb NMF - {'alpha': 0.5, 'beta_loss': 'frobenius', 'init': 'random', 'l1_ratio': 0.5, 'max_iter': 200, 'n_components': 2, 'random_state': 42} imdb PBC - {'cluster_factor': 9.0, 'dissimilarity_type': 'euclidean', 'fraction_delta': 2.0, 'init_type': 'fastmap', 'n_iterations': 100, 'verbose': False} imdb PCA - {'n_components': 2, 'random_state': 42} imdb I-PCA - {'n_components': 2}
N-MDS data lbl L-MVU data lbl NMF data lbl PBC data lbl PCA data lbl I-PCA data lbl
imdb K-PCA-P - {'degree': 5, 'gamma': 0.5, 'kernel': 'poly', 'max_iter': None, 'n_components': 2, 'random_state': 42} imdb K-PCA-R - {'gamma': None, 'kernel': 'rbf', 'max_iter': None, 'n_components': 2, 'random_state': 42} imdb K-PCA-S - {'degree': 3, 'gamma': None, 'kernel': 'sigmoid', 'max_iter': None, 'n_components': 2, 'random_state': 42} imdb P-PCA - {'max_iter': 200, 'verbose': False} imdb S-PCA - {'alpha': 0.01, 'max_iter': 1000, 'method': 'lars', 'n_components': 2, 'normalize_components': True, 'random_state': 42, 'ridge_alpha': 0.05, 'tol': 1e-08} imdb PLSP - {'dissimilarity_type': 'euclidean', 'sample_type': 'clustering', 'verbose': False}
K-PCA-P data lbl K-PCA-R data lbl K-PCA-S data lbl P-PCA data lbl S-PCA data lbl PLSP data lbl
imdb G-RP - {'n_components': 2, 'random_state': 42} imdb S-RP - {'density': 'auto', 'n_components': 2, 'random_state': 42} imdb R-SAM - {'dissimilarity_type': 'euclidean', 'verbose': False} imdb T-SNE - {'angle': 0.5, 'early_exaggeration': 18.0, 'init': 'random', 'learning_rate': 200.0, 'method': 'barnes_hut', 'metric': 'euclidean', 'min_grad_norm': 1e-07, 'n_components': 2, 'n_iter': 3000, 'n_iter_without_progress': 300, 'n_jobs': 4, 'perplexity': 50.0, 'random_state': 42} imdb SPE - {'max_iter': 0, 'n_neighbors': 6, 'n_updates': 20, 'verbose': False} imdb T-SVD - {'algorithm': 'randomized', 'n_components': 2, 'n_iter': 10, 'random_state': 42}
G-RP data lbl S-RP data lbl R-SAM data lbl T-SNE data lbl SPE data lbl T-SVD data lbl
imdb UMAP - {'angular_rp_forest': False, 'init': 'spectral', 'metric': 'euclidean', 'min_dist': 0.5, 'n_components': 2, 'n_neighbors': 15, 'random_state': 42, 'spread': 1.0}
UMAP data lbl
orl dataset
orl DM - {'t': 2, 'verbose': False, 'width': 10.0} orl FA - {'max_iter': 1000, 'n_components': 2, 'random_state': 42} orl FMAP - {'dissimilarity_type': 'euclidean', 'verbose': False} orl GDA - {'kernel': 'linear', 'verbose': False} orl GPLVM - {'sigma': 2.0, 'verbose': False} orl F-ICA - {'fun': 'exp', 'max_iter': 200, 'n_components': 2, 'random_state': 42}
DM data lbl FA data lbl FMAP data lbl GDA data lbl GPLVM data lbl F-ICA data lbl
orl IDMAP - {'dissimilarity_type': 'euclidean', 'fraction_delta': 12.0, 'init_type': 'random', 'n_iterations': 200, 'verbose': False} orl ISO - {'eigen_solver': 'dense', 'n_components': 2, 'n_neighbors': 5} orl L-ISO - {'dissimilarity_type': 'euclidean', 'n_neighbors': 8, 'verbose': False} orl LAMP - {'fraction_delta': 2.0, 'n_iterations': 100, 'sample_type': 'clustering_centroid', 'verbose': False} orl LE - {'affinity': 'nearest_neighbors', 'n_components': 2, 'random_state': 42} orl LLC - {'k': 8, 'max_iter': 400, 'n_analyzers': 20, 'verbose': False}
IDMAP data lbl ISO data lbl L-ISO data lbl LAMP data lbl LE data lbl LLC data lbl
orl LLE - {'eigen_solver': 'dense', 'max_iter': 100, 'method': 'standard', 'n_components': 2, 'n_neighbors': 5, 'random_state': 42, 'reg': 0.1} orl H-LLE - {'eigen_solver': 'dense', 'max_iter': 100, 'method': 'hessian', 'n_components': 2, 'n_neighbors': 11, 'random_state': 42, 'reg': 0.001} orl M-LLE - {'eigen_solver': 'dense', 'max_iter': 100, 'method': 'modified', 'n_components': 2, 'n_neighbors': 11, 'random_state': 42, 'reg': 0.001} orl LMNN - {'k': 3, 'verbose': False} orl LPP - {'n_neighbors': 4, 'verbose': False} orl LSP - {'control_point_type': 'random', 'dissimilarity_type': 'euclidean', 'fraction_delta': 8.0, 'n_iterations': 200, 'n_neighbors': 8, 'verbose': False}
LLE data lbl H-LLE data lbl M-LLE data lbl LMNN data lbl LPP data lbl LSP data lbl
orl LTSA - {'eigen_solver': 'dense', 'max_iter': 100, 'method': 'ltsa', 'n_components': 2, 'n_neighbors': 5, 'random_state': 42, 'reg': 0.001} orl L-LTSA - {'n_neighbors': 11, 'verbose': False} orl MC - {'max_iter': 200, 'n_analyzers': 20, 'verbose': False} orl MCML - {'verbose': False} orl MDS - {'max_iter': 300, 'metric': True, 'n_components': 2, 'n_init': 2, 'random_state': 42} orl L-MDS - {'n_neighbors': 11, 'verbose': False}
LTSA data lbl L-LTSA data lbl MC data lbl MCML data lbl MDS data lbl L-MDS data lbl
orl N-MDS - {'max_iter': 300, 'metric': False, 'n_components': 2, 'n_init': 4, 'random_state': 42} orl NMF - {'alpha': 0.5, 'beta_loss': 'frobenius', 'init': 'random', 'l1_ratio': 0.5, 'max_iter': 200, 'n_components': 2, 'random_state': 42} orl PBC - {'cluster_factor': 4.5, 'dissimilarity_type': 'euclidean', 'fraction_delta': 2.0, 'init_type': 'random', 'n_iterations': 100, 'verbose': False} orl PCA - {'n_components': 2, 'random_state': 42} orl I-PCA - {'n_components': 2} orl K-PCA-P - {'degree': 2, 'gamma': 0.05, 'kernel': 'poly', 'max_iter': None, 'n_components': 2, 'random_state': 42}
N-MDS data lbl NMF data lbl PBC data lbl PCA data lbl I-PCA data lbl K-PCA-P data lbl
orl K-PCA-R - {'gamma': None, 'kernel': 'rbf', 'max_iter': None, 'n_components': 2, 'random_state': 42} orl K-PCA-S - {'degree': 3, 'gamma': None, 'kernel': 'sigmoid', 'max_iter': None, 'n_components': 2, 'random_state': 42} orl P-PCA - {'max_iter': 400, 'verbose': False} orl S-PCA - {'alpha': 0.5, 'max_iter': 1000, 'method': 'lars', 'n_components': 2, 'normalize_components': True, 'random_state': 42, 'ridge_alpha': 0.5, 'tol': 1e-08} orl PLSP - {'dissimilarity_type': 'euclidean', 'sample_type': 'clustering', 'verbose': False} orl G-RP - {'n_components': 2, 'random_state': 42}
K-PCA-R data lbl K-PCA-S data lbl P-PCA data lbl S-PCA data lbl PLSP data lbl G-RP data lbl
orl S-RP - {'density': 'auto', 'n_components': 2, 'random_state': 42} orl T-SNE - {'angle': 0.5, 'early_exaggeration': 18.0, 'init': 'random', 'learning_rate': 200.0, 'method': 'barnes_hut', 'metric': 'euclidean', 'min_grad_norm': 1e-07, 'n_components': 2, 'n_iter': 1000, 'n_iter_without_progress': 300, 'n_jobs': 4, 'perplexity': 15.0, 'random_state': 42} orl SPE - {'max_iter': 0, 'n_neighbors': 12, 'n_updates': 20, 'verbose': False} orl T-SVD - {'algorithm': 'randomized', 'n_components': 2, 'n_iter': 5, 'random_state': 42} orl UMAP - {'angular_rp_forest': False, 'init': 'random', 'metric': 'euclidean', 'min_dist': 0.01, 'n_components': 2, 'n_neighbors': 15, 'random_state': 42, 'spread': 1.0}
S-RP data lbl T-SNE data lbl SPE data lbl T-SVD data lbl UMAP data lbl
secom dataset
secom DM - {'t': 5, 'verbose': False, 'width': 10.0} secom FA - {'max_iter': 1000, 'n_components': 2, 'random_state': 42} secom FMAP - {'dissimilarity_type': 'euclidean', 'verbose': False} secom GPLVM - {'sigma': 0.5, 'verbose': False} secom F-ICA - {'fun': 'exp', 'max_iter': 200, 'n_components': 2, 'random_state': 42} secom IDMAP - {'dissimilarity_type': 'euclidean', 'fraction_delta': 8.0, 'init_type': 'random', 'n_iterations': 100, 'verbose': False}
DM data lbl FA data lbl FMAP data lbl GPLVM data lbl F-ICA data lbl IDMAP data lbl
secom ISO - {'eigen_solver': 'dense', 'n_components': 2, 'n_neighbors': 7} secom L-ISO - {'dissimilarity_type': 'euclidean', 'n_neighbors': 8, 'verbose': False} secom LAMP - {'fraction_delta': 12.0, 'n_iterations': 100, 'sample_type': 'clustering_centroid', 'verbose': False} secom LE - {'affinity': 'nearest_neighbors', 'n_components': 2, 'random_state': 42} secom LLC - {'k': 12, 'max_iter': 200, 'n_analyzers': 10, 'verbose': False} secom LLE - {'eigen_solver': 'dense', 'max_iter': 100, 'method': 'standard', 'n_components': 2, 'n_neighbors': 5, 'random_state': 42, 'reg': 0.1}
ISO data lbl L-ISO data lbl LAMP data lbl LE data lbl LLC data lbl LLE data lbl
secom H-LLE - {'eigen_solver': 'dense', 'max_iter': 100, 'method': 'hessian', 'n_components': 2, 'n_neighbors': 11, 'random_state': 42, 'reg': 0.001} secom M-LLE - {'eigen_solver': 'dense', 'max_iter': 100, 'method': 'modified', 'n_components': 2, 'n_neighbors': 5, 'random_state': 42, 'reg': 0.001} secom LSP - {'control_point_type': 'random', 'dissimilarity_type': 'euclidean', 'fraction_delta': 8.0, 'n_iterations': 200, 'n_neighbors': 16, 'verbose': False} secom LTSA - {'eigen_solver': 'dense', 'max_iter': 100, 'method': 'ltsa', 'n_components': 2, 'n_neighbors': 7, 'random_state': 42, 'reg': 0.001} secom MC - {'max_iter': 400, 'n_analyzers': 20, 'verbose': False} secom MCML - {'verbose': False}
H-LLE data lbl M-LLE data lbl LSP data lbl LTSA data lbl MC data lbl MCML data lbl
secom MDS - {'max_iter': 500, 'metric': True, 'n_components': 2, 'n_init': 2, 'random_state': 42} secom L-MDS - {'n_neighbors': 11, 'verbose': False} secom N-MDS - {'max_iter': 300, 'metric': False, 'n_components': 2, 'n_init': 2, 'random_state': 42} secom L-MVU - {'k1': 7, 'k2': 8, 'verbose': False} secom NMF - {'alpha': 0.5, 'beta_loss': 'frobenius', 'init': 'random', 'l1_ratio': 0.0, 'max_iter': 400, 'n_components': 2, 'random_state': 42} secom PBC - {'cluster_factor': 9.0, 'dissimilarity_type': 'euclidean', 'fraction_delta': 12.0, 'init_type': 'random', 'n_iterations': 200, 'verbose': False}
MDS data lbl L-MDS data lbl N-MDS data lbl L-MVU data lbl NMF data lbl PBC data lbl
secom PCA - {'n_components': 2, 'random_state': 42} secom I-PCA - {'n_components': 2} secom K-PCA-P - {'degree': 5, 'gamma': None, 'kernel': 'poly', 'max_iter': None, 'n_components': 2, 'random_state': 42} secom K-PCA-R - {'gamma': None, 'kernel': 'rbf', 'max_iter': None, 'n_components': 2, 'random_state': 42} secom K-PCA-S - {'degree': 3, 'gamma': None, 'kernel': 'sigmoid', 'max_iter': None, 'n_components': 2, 'random_state': 42} secom P-PCA - {'max_iter': 400, 'verbose': False}
PCA data lbl I-PCA data lbl K-PCA-P data lbl K-PCA-R data lbl K-PCA-S data lbl P-PCA data lbl
secom S-PCA - {'alpha': 0.01, 'max_iter': 1000, 'method': 'lars', 'n_components': 2, 'normalize_components': True, 'random_state': 42, 'ridge_alpha': 0.05, 'tol': 1e-08} secom G-RP - {'n_components': 2, 'random_state': 42} secom S-RP - {'density': 'auto', 'n_components': 2, 'random_state': 42} secom R-SAM - {'dissimilarity_type': 'euclidean', 'verbose': False} secom T-SNE - {'angle': 0.5, 'early_exaggeration': 6.0, 'init': 'random', 'learning_rate': 200.0, 'method': 'barnes_hut', 'metric': 'euclidean', 'min_grad_norm': 1e-07, 'n_components': 2, 'n_iter': 3000, 'n_iter_without_progress': 300, 'n_jobs': 4, 'perplexity': 30.0, 'random_state': 42} secom SPE - {'max_iter': 0, 'n_neighbors': 6, 'n_updates': 70, 'verbose': False}
S-PCA data lbl G-RP data lbl S-RP data lbl R-SAM data lbl T-SNE data lbl SPE data lbl
secom T-SVD - {'algorithm': 'randomized', 'n_components': 2, 'n_iter': 5, 'random_state': 42} secom UMAP - {'angular_rp_forest': False, 'init': 'spectral', 'metric': 'euclidean', 'min_dist': 0.5, 'n_components': 2, 'n_neighbors': 5, 'random_state': 42, 'spread': 1.0}
T-SVD data lbl UMAP data lbl
seismic dataset
seismic DM - {'t': 2, 'verbose': False, 'width': 5.0} seismic FA - {'max_iter': 1000, 'n_components': 2, 'random_state': 42} seismic FMAP - {'dissimilarity_type': 'euclidean', 'verbose': False} seismic GDA - {'kernel': 'gauss', 'verbose': False} seismic GPLVM - {'sigma': 0.5, 'verbose': False} seismic F-ICA - {'fun': 'exp', 'max_iter': 200, 'n_components': 2, 'random_state': 42}
DM data lbl FA data lbl FMAP data lbl GDA data lbl GPLVM data lbl F-ICA data lbl
seismic IDMAP - {'dissimilarity_type': 'euclidean', 'fraction_delta': 8.0, 'init_type': 'random', 'n_iterations': 200, 'verbose': False} seismic ISO - {'eigen_solver': 'dense', 'n_components': 2, 'n_neighbors': 7} seismic L-ISO - {'dissimilarity_type': 'euclidean', 'n_neighbors': 8, 'verbose': False} seismic LAMP - {'fraction_delta': 12.0, 'n_iterations': 200, 'sample_type': 'clustering_centroid', 'verbose': False} seismic LE - {'affinity': 'nearest_neighbors', 'n_components': 2, 'random_state': 42} seismic LLC - {'k': 12, 'max_iter': 200, 'n_analyzers': 10, 'verbose': False}
IDMAP data lbl ISO data lbl L-ISO data lbl LAMP data lbl LE data lbl LLC data lbl
seismic LLE - {'eigen_solver': 'dense', 'max_iter': 100, 'method': 'standard', 'n_components': 2, 'n_neighbors': 7, 'random_state': 42, 'reg': 0.001} seismic H-LLE - {'eigen_solver': 'dense', 'max_iter': 100, 'method': 'hessian', 'n_components': 2, 'n_neighbors': 7, 'random_state': 42, 'reg': 0.001} seismic M-LLE - {'eigen_solver': 'dense', 'max_iter': 100, 'method': 'modified', 'n_components': 2, 'n_neighbors': 7, 'random_state': 42, 'reg': 0.001} seismic LMNN - {'k': 3, 'verbose': False} seismic LSP - {'control_point_type': 'kmeans', 'dissimilarity_type': 'euclidean', 'fraction_delta': 12.0, 'n_iterations': 100, 'n_neighbors': 16, 'verbose': False} seismic LTSA - {'eigen_solver': 'dense', 'max_iter': 100, 'method': 'ltsa', 'n_components': 2, 'n_neighbors': 7, 'random_state': 42, 'reg': 0.001}
LLE data lbl H-LLE data lbl M-LLE data lbl LMNN data lbl LSP data lbl LTSA data lbl
seismic MC - {'max_iter': 400, 'n_analyzers': 10, 'verbose': False} seismic MCML - {'verbose': False} seismic MDS - {'max_iter': 300, 'metric': True, 'n_components': 2, 'n_init': 2, 'random_state': 42} seismic L-MDS - {'n_neighbors': 4, 'verbose': False} seismic N-MDS - {'max_iter': 300, 'metric': False, 'n_components': 2, 'n_init': 4, 'random_state': 42} seismic L-MVU - {'k1': 7, 'k2': 12, 'verbose': False}
MC data lbl MCML data lbl MDS data lbl L-MDS data lbl N-MDS data lbl L-MVU data lbl
seismic NMF - {'alpha': 0, 'beta_loss': 'frobenius', 'init': 'random', 'l1_ratio': 0.0, 'max_iter': 400, 'n_components': 2, 'random_state': 42} seismic PBC - {'cluster_factor': 9.0, 'dissimilarity_type': 'euclidean', 'fraction_delta': 12.0, 'init_type': 'fastmap', 'n_iterations': 100, 'verbose': False} seismic PCA - {'n_components': 2, 'random_state': 42} seismic I-PCA - {'n_components': 2} seismic K-PCA-P - {'degree': 2, 'gamma': None, 'kernel': 'poly', 'max_iter': None, 'n_components': 2, 'random_state': 42} seismic K-PCA-R - {'gamma': None, 'kernel': 'rbf', 'max_iter': None, 'n_components': 2, 'random_state': 42}
NMF data lbl PBC data lbl PCA data lbl I-PCA data lbl K-PCA-P data lbl K-PCA-R data lbl
seismic K-PCA-S - {'degree': 3, 'gamma': 0.05, 'kernel': 'sigmoid', 'max_iter': None, 'n_components': 2, 'random_state': 42} seismic P-PCA - {'max_iter': 400, 'verbose': False} seismic S-PCA - {'alpha': 0.01, 'max_iter': 1000, 'method': 'lars', 'n_components': 2, 'normalize_components': True, 'random_state': 42, 'ridge_alpha': 0.5, 'tol': 1e-08} seismic PLSP - {'dissimilarity_type': 'euclidean', 'sample_type': 'clustering', 'verbose': False} seismic G-RP - {'n_components': 2, 'random_state': 42} seismic S-RP - {'density': 'auto', 'n_components': 2, 'random_state': 42}
K-PCA-S data lbl P-PCA data lbl S-PCA data lbl PLSP data lbl G-RP data lbl S-RP data lbl
seismic R-SAM - {'dissimilarity_type': 'euclidean', 'verbose': False} seismic T-SNE - {'angle': 0.5, 'early_exaggeration': 6.0, 'init': 'random', 'learning_rate': 200.0, 'method': 'barnes_hut', 'metric': 'euclidean', 'min_grad_norm': 1e-07, 'n_components': 2, 'n_iter': 1000, 'n_iter_without_progress': 300, 'n_jobs': 4, 'perplexity': 50.0, 'random_state': 42} seismic SPE - {'max_iter': 0, 'n_neighbors': 6, 'n_updates': 20, 'verbose': False} seismic T-SVD - {'algorithm': 'randomized', 'n_components': 2, 'n_iter': 5, 'random_state': 42} seismic UMAP - {'angular_rp_forest': False, 'init': 'spectral', 'metric': 'euclidean', 'min_dist': 0.001, 'n_components': 2, 'n_neighbors': 5, 'random_state': 42, 'spread': 1.0}
R-SAM data lbl T-SNE data lbl SPE data lbl T-SVD data lbl UMAP data lbl
sentiment dataset
sentiment DM - {'t': 5, 'verbose': False, 'width': 10.0} sentiment FA - {'max_iter': 1000, 'n_components': 2, 'random_state': 42} sentiment FMAP - {'dissimilarity_type': 'euclidean', 'verbose': False} sentiment GPLVM - {'sigma': 2.0, 'verbose': False} sentiment F-ICA - {'fun': 'exp', 'max_iter': 200, 'n_components': 2, 'random_state': 42} sentiment IDMAP - {'dissimilarity_type': 'euclidean', 'fraction_delta': 12.0, 'init_type': 'random', 'n_iterations': 100, 'verbose': False}
DM data lbl FA data lbl FMAP data lbl GPLVM data lbl F-ICA data lbl IDMAP data lbl
sentiment ISO - {'eigen_solver': 'dense', 'n_components': 2, 'n_neighbors': 3} sentiment L-ISO - {'dissimilarity_type': 'euclidean', 'n_neighbors': 4, 'verbose': False} sentiment LAMP - {'fraction_delta': 2.0, 'n_iterations': 200, 'sample_type': 'clustering_centroid', 'verbose': False} sentiment LE - {'affinity': 'nearest_neighbors', 'n_components': 2, 'random_state': 42} sentiment LLC - {'k': 12, 'max_iter': 200, 'n_analyzers': 20, 'verbose': False} sentiment LLE - {'eigen_solver': 'dense', 'max_iter': 100, 'method': 'standard', 'n_components': 2, 'n_neighbors': 5, 'random_state': 42, 'reg': 0.001}
ISO data lbl L-ISO data lbl LAMP data lbl LE data lbl LLC data lbl LLE data lbl
sentiment H-LLE - {'eigen_solver': 'dense', 'max_iter': 100, 'method': 'hessian', 'n_components': 2, 'n_neighbors': 11, 'random_state': 42, 'reg': 0.001} sentiment M-LLE - {'eigen_solver': 'dense', 'max_iter': 100, 'method': 'modified', 'n_components': 2, 'n_neighbors': 5, 'random_state': 42, 'reg': 0.001} sentiment LMNN - {'k': 7, 'verbose': False} sentiment LPP - {'n_neighbors': 7, 'verbose': False} sentiment LSP - {'control_point_type': 'kmeans', 'dissimilarity_type': 'euclidean', 'fraction_delta': 8.0, 'n_iterations': 100, 'n_neighbors': 16, 'verbose': False} sentiment LTSA - {'eigen_solver': 'dense', 'max_iter': 100, 'method': 'ltsa', 'n_components': 2, 'n_neighbors': 11, 'random_state': 42, 'reg': 0.001}
H-LLE data lbl M-LLE data lbl LMNN data lbl LPP data lbl LSP data lbl LTSA data lbl
sentiment L-LTSA - {'n_neighbors': 11, 'verbose': False} sentiment MC - {'max_iter': 400, 'n_analyzers': 20, 'verbose': False} sentiment MCML - {'verbose': False} sentiment MDS - {'max_iter': 500, 'metric': True, 'n_components': 2, 'n_init': 2, 'random_state': 42} sentiment L-MDS - {'n_neighbors': 4, 'verbose': False} sentiment N-MDS - {'max_iter': 300, 'metric': False, 'n_components': 2, 'n_init': 4, 'random_state': 42}
L-LTSA data lbl MC data lbl MCML data lbl MDS data lbl L-MDS data lbl N-MDS data lbl
sentiment NMF - {'alpha': 0, 'beta_loss': 'frobenius', 'init': 'nndsvdar', 'l1_ratio': 0.0, 'max_iter': 200, 'n_components': 2, 'random_state': 42} sentiment PBC - {'cluster_factor': 9.0, 'dissimilarity_type': 'euclidean', 'fraction_delta': 12.0, 'init_type': 'fastmap', 'n_iterations': 100, 'verbose': False} sentiment PCA - {'n_components': 2, 'random_state': 42} sentiment I-PCA - {'n_components': 2} sentiment K-PCA-P - {'degree': 2, 'gamma': 0.05, 'kernel': 'poly', 'max_iter': None, 'n_components': 2, 'random_state': 42} sentiment K-PCA-R - {'gamma': 0.05, 'kernel': 'rbf', 'max_iter': None, 'n_components': 2, 'random_state': 42}
NMF data lbl PBC data lbl PCA data lbl I-PCA data lbl K-PCA-P data lbl K-PCA-R data lbl
sentiment K-PCA-S - {'degree': 3, 'gamma': 0.5, 'kernel': 'sigmoid', 'max_iter': None, 'n_components': 2, 'random_state': 42} sentiment P-PCA - {'max_iter': 200, 'verbose': False} sentiment S-PCA - {'alpha': 0.01, 'max_iter': 1000, 'method': 'lars', 'n_components': 2, 'normalize_components': True, 'random_state': 42, 'ridge_alpha': 0.5, 'tol': 1e-08} sentiment G-RP - {'n_components': 2, 'random_state': 42} sentiment S-RP - {'density': 'auto', 'n_components': 2, 'random_state': 42} sentiment T-SNE - {'angle': 0.5, 'early_exaggeration': 6.0, 'init': 'random', 'learning_rate': 200.0, 'method': 'barnes_hut', 'metric': 'euclidean', 'min_grad_norm': 1e-07, 'n_components': 2, 'n_iter': 1000, 'n_iter_without_progress': 300, 'n_jobs': 4, 'perplexity': 15.0, 'random_state': 42}
K-PCA-S data lbl P-PCA data lbl S-PCA data lbl G-RP data lbl S-RP data lbl T-SNE data lbl
sentiment SPE - {'max_iter': 0, 'n_neighbors': 12, 'n_updates': 70, 'verbose': False} sentiment T-SVD - {'algorithm': 'randomized', 'n_components': 2, 'n_iter': 10, 'random_state': 42} sentiment UMAP - {'angular_rp_forest': False, 'init': 'random', 'metric': 'euclidean', 'min_dist': 0.001, 'n_components': 2, 'n_neighbors': 5, 'random_state': 42, 'spread': 1.0}
SPE data lbl T-SVD data lbl UMAP data lbl
sms dataset
sms DM - {'t': 2, 'verbose': False, 'width': 10.0} sms FA - {'max_iter': 1000, 'n_components': 2, 'random_state': 42} sms FMAP - {'dissimilarity_type': 'euclidean', 'verbose': False} sms GDA - {'kernel': 'gauss', 'verbose': False} sms GPLVM - {'sigma': 0.5, 'verbose': False} sms F-ICA - {'fun': 'exp', 'max_iter': 200, 'n_components': 2, 'random_state': 42}
DM data lbl FA data lbl FMAP data lbl GDA data lbl GPLVM data lbl F-ICA data lbl
sms IDMAP - {'dissimilarity_type': 'euclidean', 'fraction_delta': 12.0, 'init_type': 'random', 'n_iterations': 200, 'verbose': False} sms ISO - {'eigen_solver': 'dense', 'n_components': 2, 'n_neighbors': 3} sms L-ISO - {'dissimilarity_type': 'euclidean', 'n_neighbors': 4, 'verbose': False} sms LAMP - {'fraction_delta': 12.0, 'n_iterations': 100, 'sample_type': 'clustering_centroid', 'verbose': False} sms LE - {'affinity': 'nearest_neighbors', 'n_components': 2, 'random_state': 42} sms LLC - {'k': 12, 'max_iter': 200, 'n_analyzers': 10, 'verbose': False}
IDMAP data lbl ISO data lbl L-ISO data lbl LAMP data lbl LE data lbl LLC data lbl
sms LLE - {'eigen_solver': 'dense', 'max_iter': 100, 'method': 'standard', 'n_components': 2, 'n_neighbors': 5, 'random_state': 42, 'reg': 0.001} sms H-LLE - {'eigen_solver': 'dense', 'max_iter': 100, 'method': 'hessian', 'n_components': 2, 'n_neighbors': 11, 'random_state': 42, 'reg': 0.001} sms M-LLE - {'eigen_solver': 'dense', 'max_iter': 100, 'method': 'modified', 'n_components': 2, 'n_neighbors': 7, 'random_state': 42, 'reg': 0.001} sms LMNN - {'k': 5, 'verbose': False} sms LSP - {'control_point_type': 'kmeans', 'dissimilarity_type': 'euclidean', 'fraction_delta': 8.0, 'n_iterations': 100, 'n_neighbors': 16, 'verbose': False} sms LTSA - {'eigen_solver': 'dense', 'max_iter': 100, 'method': 'ltsa', 'n_components': 2, 'n_neighbors': 11, 'random_state': 42, 'reg': 0.001}
LLE data lbl H-LLE data lbl M-LLE data lbl LMNN data lbl LSP data lbl LTSA data lbl
sms MC - {'max_iter': 400, 'n_analyzers': 10, 'verbose': False} sms MCML - {'verbose': False} sms MDS - {'max_iter': 500, 'metric': True, 'n_components': 2, 'n_init': 2, 'random_state': 42} sms L-MDS - {'n_neighbors': 7, 'verbose': False} sms N-MDS - {'max_iter': 300, 'metric': False, 'n_components': 2, 'n_init': 4, 'random_state': 42} sms NMF - {'alpha': 0, 'beta_loss': 'frobenius', 'init': 'random', 'l1_ratio': 0.0, 'max_iter': 200, 'n_components': 2, 'random_state': 42}
MC data lbl MCML data lbl MDS data lbl L-MDS data lbl N-MDS data lbl NMF data lbl
sms PBC - {'cluster_factor': 9.0, 'dissimilarity_type': 'euclidean', 'fraction_delta': 12.0, 'init_type': 'fastmap', 'n_iterations': 100, 'verbose': False} sms PCA - {'n_components': 2, 'random_state': 42} sms I-PCA - {'n_components': 2} sms K-PCA-P - {'degree': 2, 'gamma': None, 'kernel': 'poly', 'max_iter': None, 'n_components': 2, 'random_state': 42} sms K-PCA-R - {'gamma': None, 'kernel': 'rbf', 'max_iter': None, 'n_components': 2, 'random_state': 42} sms K-PCA-S - {'degree': 3, 'gamma': 0.05, 'kernel': 'sigmoid', 'max_iter': None, 'n_components': 2, 'random_state': 42}
PBC data lbl PCA data lbl I-PCA data lbl K-PCA-P data lbl K-PCA-R data lbl K-PCA-S data lbl
sms P-PCA - {'max_iter': 400, 'verbose': False} sms S-PCA - {'alpha': 0.01, 'max_iter': 1000, 'method': 'lars', 'n_components': 2, 'normalize_components': True, 'random_state': 42, 'ridge_alpha': 0.05, 'tol': 1e-08} sms PLSP - {'dissimilarity_type': 'euclidean', 'sample_type': 'clustering', 'verbose': False} sms G-RP - {'n_components': 2, 'random_state': 42} sms S-RP - {'density': 'auto', 'n_components': 2, 'random_state': 42} sms T-SNE - {'angle': 0.5, 'early_exaggeration': 18.0, 'init': 'random', 'learning_rate': 200.0, 'method': 'barnes_hut', 'metric': 'euclidean', 'min_grad_norm': 1e-07, 'n_components': 2, 'n_iter': 1000, 'n_iter_without_progress': 300, 'n_jobs': 4, 'perplexity': 50.0, 'random_state': 42}
P-PCA data lbl S-PCA data lbl PLSP data lbl G-RP data lbl S-RP data lbl T-SNE data lbl
sms SPE - {'max_iter': 0, 'n_neighbors': 18, 'n_updates': 70, 'verbose': False} sms T-SVD - {'algorithm': 'randomized', 'n_components': 2, 'n_iter': 5, 'random_state': 42} sms UMAP - {'angular_rp_forest': False, 'init': 'random', 'metric': 'euclidean', 'min_dist': 0.001, 'n_components': 2, 'n_neighbors': 5, 'random_state': 42, 'spread': 1.0}
SPE data lbl T-SVD data lbl UMAP data lbl
spambase dataset
spambase DM - {'t': 2, 'verbose': False, 'width': 10.0} spambase FA - {'max_iter': 1000, 'n_components': 2, 'random_state': 42} spambase FMAP - {'dissimilarity_type': 'euclidean', 'verbose': False} spambase GDA - {'kernel': 'gauss', 'verbose': False} spambase GPLVM - {'sigma': 2.0, 'verbose': False} spambase F-ICA - {'fun': 'exp', 'max_iter': 200, 'n_components': 2, 'random_state': 42}
DM data lbl FA data lbl FMAP data lbl GDA data lbl GPLVM data lbl F-ICA data lbl
spambase IDMAP - {'dissimilarity_type': 'euclidean', 'fraction_delta': 12.0, 'init_type': 'random', 'n_iterations': 100, 'verbose': False} spambase ISO - {'eigen_solver': 'dense', 'n_components': 2, 'n_neighbors': 7} spambase L-ISO - {'dissimilarity_type': 'euclidean', 'n_neighbors': 8, 'verbose': False} spambase LAMP - {'fraction_delta': 8.0, 'n_iterations': 100, 'sample_type': 'clustering_centroid', 'verbose': False} spambase LE - {'affinity': 'nearest_neighbors', 'n_components': 2, 'random_state': 42} spambase LLC - {'k': 12, 'max_iter': 400, 'n_analyzers': 20, 'verbose': False}
IDMAP data lbl ISO data lbl L-ISO data lbl LAMP data lbl LE data lbl LLC data lbl
spambase LLE - {'eigen_solver': 'dense', 'max_iter': 100, 'method': 'standard', 'n_components': 2, 'n_neighbors': 11, 'random_state': 42, 'reg': 0.001} spambase H-LLE - {'eigen_solver': 'dense', 'max_iter': 100, 'method': 'hessian', 'n_components': 2, 'n_neighbors': 7, 'random_state': 42, 'reg': 0.001} spambase M-LLE - {'eigen_solver': 'dense', 'max_iter': 100, 'method': 'modified', 'n_components': 2, 'n_neighbors': 5, 'random_state': 42, 'reg': 0.001} spambase LMNN - {'k': 3, 'verbose': False} spambase LPP - {'n_neighbors': 11, 'verbose': False} spambase LTSA - {'eigen_solver': 'dense', 'max_iter': 100, 'method': 'ltsa', 'n_components': 2, 'n_neighbors': 7, 'random_state': 42, 'reg': 0.001}
LLE data lbl H-LLE data lbl M-LLE data lbl LMNN data lbl LPP data lbl LTSA data lbl
spambase L-LTSA - {'n_neighbors': 11, 'verbose': False} spambase MC - {'max_iter': 200, 'n_analyzers': 10, 'verbose': False} spambase MCML - {'verbose': False} spambase L-MDS - {'n_neighbors': 7, 'verbose': False} spambase NMF - {'alpha': 0.5, 'beta_loss': 'frobenius', 'init': 'nndsvdar', 'l1_ratio': 0.0, 'max_iter': 200, 'n_components': 2, 'random_state': 42} spambase PBC - {'cluster_factor': 9.0, 'dissimilarity_type': 'euclidean', 'fraction_delta': 12.0, 'init_type': 'random', 'n_iterations': 100, 'verbose': False}
L-LTSA data lbl MC data lbl MCML data lbl L-MDS data lbl NMF data lbl PBC data lbl
spambase PCA - {'n_components': 2, 'random_state': 42} spambase I-PCA - {'n_components': 2} spambase K-PCA-P - {'degree': 2, 'gamma': None, 'kernel': 'poly', 'max_iter': None, 'n_components': 2, 'random_state': 42} spambase K-PCA-R - {'gamma': 0.5, 'kernel': 'rbf', 'max_iter': None, 'n_components': 2, 'random_state': 42} spambase K-PCA-S - {'degree': 3, 'gamma': 0.5, 'kernel': 'sigmoid', 'max_iter': None, 'n_components': 2, 'random_state': 42} spambase P-PCA - {'max_iter': 400, 'verbose': False}
PCA data lbl I-PCA data lbl K-PCA-P data lbl K-PCA-R data lbl K-PCA-S data lbl P-PCA data lbl
spambase S-PCA - {'alpha': 0.01, 'max_iter': 1000, 'method': 'lars', 'n_components': 2, 'normalize_components': True, 'random_state': 42, 'ridge_alpha': 0.05, 'tol': 1e-08} spambase G-RP - {'n_components': 2, 'random_state': 42} spambase S-RP - {'density': 'auto', 'n_components': 2, 'random_state': 42} spambase T-SNE - {'angle': 0.5, 'early_exaggeration': 18.0, 'init': 'random', 'learning_rate': 200.0, 'method': 'barnes_hut', 'metric': 'euclidean', 'min_grad_norm': 1e-07, 'n_components': 2, 'n_iter': 3000, 'n_iter_without_progress': 300, 'n_jobs': 4, 'perplexity': 5.0, 'random_state': 42} spambase SPE - {'max_iter': 0, 'n_neighbors': 6, 'n_updates': 70, 'verbose': False} spambase T-SVD - {'algorithm': 'randomized', 'n_components': 2, 'n_iter': 10, 'random_state': 42}
S-PCA data lbl G-RP data lbl S-RP data lbl T-SNE data lbl SPE data lbl T-SVD data lbl
spambase UMAP - {'angular_rp_forest': False, 'init': 'random', 'metric': 'euclidean', 'min_dist': 0.5, 'n_components': 2, 'n_neighbors': 10, 'random_state': 42, 'spread': 1.0}
UMAP data lbl
svhn dataset
svhn DM - {'t': 10, 'verbose': False, 'width': 10.0} svhn FA - {'max_iter': 1000, 'n_components': 2, 'random_state': 42} svhn FMAP - {'dissimilarity_type': 'euclidean', 'verbose': False} svhn GDA - {'kernel': 'linear', 'verbose': False} svhn GPLVM - {'sigma': 0.5, 'verbose': False} svhn F-ICA - {'fun': 'logcosh', 'max_iter': 200, 'n_components': 2, 'random_state': 42}
DM data lbl FA data lbl FMAP data lbl GDA data lbl GPLVM data lbl F-ICA data lbl
svhn IDMAP - {'dissimilarity_type': 'euclidean', 'fraction_delta': 12.0, 'init_type': 'fastmap', 'n_iterations': 200, 'verbose': False} svhn ISO - {'eigen_solver': 'dense', 'n_components': 2, 'n_neighbors': 7} svhn L-ISO - {'dissimilarity_type': 'euclidean', 'n_neighbors': 8, 'verbose': False} svhn LAMP - {'fraction_delta': 2.0, 'n_iterations': 100, 'sample_type': 'clustering_centroid', 'verbose': False} svhn LE - {'affinity': 'nearest_neighbors', 'n_components': 2, 'random_state': 42} svhn LLC - {'k': 12, 'max_iter': 200, 'n_analyzers': 10, 'verbose': False}
IDMAP data lbl ISO data lbl L-ISO data lbl LAMP data lbl LE data lbl LLC data lbl
svhn LLE - {'eigen_solver': 'dense', 'max_iter': 100, 'method': 'standard', 'n_components': 2, 'n_neighbors': 11, 'random_state': 42, 'reg': 0.001} svhn H-LLE - {'eigen_solver': 'dense', 'max_iter': 100, 'method': 'hessian', 'n_components': 2, 'n_neighbors': 11, 'random_state': 42, 'reg': 0.001} svhn M-LLE - {'eigen_solver': 'dense', 'max_iter': 100, 'method': 'modified', 'n_components': 2, 'n_neighbors': 11, 'random_state': 42, 'reg': 0.001} svhn LMNN - {'k': 7, 'verbose': False} svhn LPP - {'n_neighbors': 4, 'verbose': False} svhn LSP - {'control_point_type': 'random', 'dissimilarity_type': 'euclidean', 'fraction_delta': 2.0, 'n_iterations': 200, 'n_neighbors': 16, 'verbose': False}
LLE data lbl H-LLE data lbl M-LLE data lbl LMNN data lbl LPP data lbl LSP data lbl
svhn LTSA - {'eigen_solver': 'dense', 'max_iter': 100, 'method': 'ltsa', 'n_components': 2, 'n_neighbors': 11, 'random_state': 42, 'reg': 0.001} svhn L-LTSA - {'n_neighbors': 11, 'verbose': False} svhn MC - {'max_iter': 200, 'n_analyzers': 10, 'verbose': False} svhn MCML - {'verbose': False} svhn MDS - {'max_iter': 500, 'metric': True, 'n_components': 2, 'n_init': 4, 'random_state': 42} svhn L-MDS - {'n_neighbors': 4, 'verbose': False}
LTSA data lbl L-LTSA data lbl MC data lbl MCML data lbl MDS data lbl L-MDS data lbl
svhn N-MDS - {'max_iter': 300, 'metric': False, 'n_components': 2, 'n_init': 2, 'random_state': 42} svhn L-MVU - {'k1': 3, 'k2': 12, 'verbose': False} svhn NMF - {'alpha': 0, 'beta_loss': 'frobenius', 'init': 'random', 'l1_ratio': 0.0, 'max_iter': 400, 'n_components': 2, 'random_state': 42} svhn PBC - {'cluster_factor': 9.0, 'dissimilarity_type': 'euclidean', 'fraction_delta': 8.0, 'init_type': 'random', 'n_iterations': 100, 'verbose': False} svhn PCA - {'n_components': 2, 'random_state': 42} svhn I-PCA - {'n_components': 2}
N-MDS data lbl L-MVU data lbl NMF data lbl PBC data lbl PCA data lbl I-PCA data lbl
svhn K-PCA-P - {'degree': 2, 'gamma': None, 'kernel': 'poly', 'max_iter': None, 'n_components': 2, 'random_state': 42} svhn K-PCA-R - {'gamma': None, 'kernel': 'rbf', 'max_iter': None, 'n_components': 2, 'random_state': 42} svhn K-PCA-S - {'degree': 3, 'gamma': None, 'kernel': 'sigmoid', 'max_iter': None, 'n_components': 2, 'random_state': 42} svhn P-PCA - {'max_iter': 400, 'verbose': False} svhn S-PCA - {'alpha': 0.1, 'max_iter': 1000, 'method': 'lars', 'n_components': 2, 'normalize_components': True, 'random_state': 42, 'ridge_alpha': 0.05, 'tol': 1e-08} svhn PLSP - {'dissimilarity_type': 'euclidean', 'sample_type': 'clustering', 'verbose': False}
K-PCA-P data lbl K-PCA-R data lbl K-PCA-S data lbl P-PCA data lbl S-PCA data lbl PLSP data lbl
svhn G-RP - {'n_components': 2, 'random_state': 42} svhn S-RP - {'density': 'auto', 'n_components': 2, 'random_state': 42} svhn R-SAM - {'dissimilarity_type': 'euclidean', 'verbose': False} svhn T-SNE - {'angle': 0.5, 'early_exaggeration': 18.0, 'init': 'random', 'learning_rate': 200.0, 'method': 'barnes_hut', 'metric': 'euclidean', 'min_grad_norm': 1e-07, 'n_components': 2, 'n_iter': 1000, 'n_iter_without_progress': 300, 'n_jobs': 4, 'perplexity': 15.0, 'random_state': 42} svhn SPE - {'max_iter': 0, 'n_neighbors': 6, 'n_updates': 70, 'verbose': False} svhn T-SVD - {'algorithm': 'randomized', 'n_components': 2, 'n_iter': 10, 'random_state': 42}
G-RP data lbl S-RP data lbl R-SAM data lbl T-SNE data lbl SPE data lbl T-SVD data lbl
svhn UMAP - {'angular_rp_forest': False, 'init': 'spectral', 'metric': 'euclidean', 'min_dist': 0.001, 'n_components': 2, 'n_neighbors': 10, 'random_state': 42, 'spread': 1.0}
UMAP data lbl