Manifold Learning on Swiss hole
0.994TrustworthinessUMAP
Evaluation results
| Method | Links | ||||
|---|---|---|---|---|---|
| UMAP2026.07 | 0.994 | 0.937 | 0.802 | 0.815 | |
| t-SNE2026.07 | 0.994 | 0.967 | 0.632 | 0.656 | |
| DTNE2026.07 | 0.97 | 0.951 | 0.92 | 0.924 | |
| EntroPath2026.07 | 0.97 | 0.951 | 0.91 | 0.917 | |
| Diffusion Maps2026.07 | 0.969 | 0.943 | 0.864 | 0.871 | |
| Laplacian Eigenmaps2026.07 | 0.966 | 0.943 | 0.866 | 0.873 | |
| HeatGeo2026.07 | 0.966 | 0.956 | 0.931 | 0.934 | |
| Shortest Path2026.07 | 0.964 | 0.958 | 0.948 | 0.948 | |
| MDS2026.07 | 0.959 | 0.988 | 0.683 | 0.7 | |
| Isomap2026.07 | 0.955 | 0.959 | 0.943 | 0.942 | |
| PHATE2026.07 | 0.953 | 0.948 | 0.907 | 0.908 | |
| PCA2026.07 | 0.951 | 0.99 | 0.683 | 0.699 |