Manifold Learning on Sparse tree synthetic B=6, l=500
0.997Trustworthinesst-SNE
Evaluation Results
| Method | Links | |||||
|---|---|---|---|---|---|---|
| t-SNEB=6, l=500, Space=R^10, sigma=2.0, seeds=30, Ground Truth=shortest-path2026.07 | 0.997 | 0.994 | 0.734 | 0.769 | 0.389 | |
| UMAPB=6, l=500, Space=R^10, sigma=2.0, seeds=30, Ground Truth=shortest-path2026.07 | 0.996 | 0.987 | 0.582 | 0.6 | 0.418 | |
| HeatGeoB=6, l=500, Space=R^10, sigma=2.0, seeds=30, Ground Truth=shortest-path2026.07 | 0.992 | 0.993 | 0.77 | 0.808 | 0.428 | |
| EntroPathB=6, l=500, Space=R^10, sigma=2.0, seeds=30, Ground Truth=shortest-path2026.07 | 0.991 | 0.993 | 0.869 | 0.884 | 0.374 | |
| DTNEB=6, l=500, Space=R^10, sigma=2.0, seeds=30, Ground Truth=shortest-path2026.07 | 0.989 | 0.992 | 0.859 | 0.874 | 0.398 | |
| Shortest PathB=6, l=500, Space=R^10, sigma=2.0, seeds=30, Ground Truth=shortest-path2026.07 | 0.984 | 0.964 | 0.835 | 0.847 | 0.328 | |
| Diffusion MapsB=6, l=500, Space=R^10, sigma=2.0, seeds=30, Ground Truth=shortest-path2026.07 | 0.98 | 0.991 | 0.767 | 0.758 | 0.331 | |
| PHATEB=6, l=500, Space=R^10, sigma=2.0, seeds=30, Ground Truth=shortest-path2026.07 | 0.98 | 0.989 | 0.404 | 0.5 | 0.246 | |
| Laplacian EigenmapsB=6, l=500, Space=R^10, sigma=2.0, seeds=30, Ground Truth=shortest-path2026.07 | 0.979 | 0.99 | 0.77 | 0.762 | 0.326 | |
| IsomapB=6, l=500, Space=R^10, sigma=2.0, seeds=30, Ground Truth=shortest-path2026.07 | 0.97 | 0.986 | 0.796 | 0.812 | 0.277 | |
| MDSB=6, l=500, Space=R^10, sigma=2.0, seeds=30, Ground Truth=shortest-path2026.07 | 0.969 | 0.967 | 0.748 | 0.772 | 0.306 | |
| PCAB=6, l=500, Space=R^10, sigma=2.0, seeds=30, Ground Truth=shortest-path2026.07 | 0.937 | 0.975 | 0.717 | 0.74 | 0.264 |