Classification on Swiss Roll (test)
96.7AccuracyIsomap
Evaluation results
| Method | Links | |
|---|---|---|
| IsomapType=Euclidean, Number of components (nc)=3, Subsampling strategy=stratified, max 2000 samples2026.02 | 96.7 | |
| LDAType=Euclidean, Number of components (nc)=3, Subsampling strategy=stratified, max 2000 samples2026.02 | 94.3 | |
| R-LDAType=Riemannian, Number of components (nc)=3, Subsampling strategy=stratified, max 2000 samples2026.02 | 78.3 | |
| R-PGAType=Riemannian, Number of components (nc)=3, Subsampling strategy=stratified, max 2000 samples2026.02 | 78 | |
| R-RPCAType=Riemannian, Number of components (nc)=3, Subsampling strategy=stratified, max 2000 samples2026.02 | 78 | |
| R-ONPPType=Riemannian, Number of components (nc)=3, Subsampling strategy=stratified, max 2000 samples2026.02 | 77.3 | |
| R-IsomapType=Riemannian, Number of components (nc)=3, Subsampling strategy=stratified, max 2000 samples2026.02 | 75.3 | |
| PCAType=Euclidean, Number of components (nc)=3, Subsampling strategy=stratified, max 2000 samples2026.02 | 74 | |
| R-LEType=Riemannian, Number of components (nc)=3, Subsampling strategy=stratified, max 2000 samples2026.02 | 72.3 |