Manifold Learning on Dense tree (B=20, l=100, R^100, sigma=4.0)
0.989TrustworthinessUMAP
Evaluation results
| Method | Links | |||||
|---|---|---|---|---|---|---|
| UMAP2026.07 | 0.989 | 0.972 | 0.606 | 0.618 | 0.48 | |
| t-SNE2026.07 | 0.989 | 0.975 | 0.628 | 0.669 | 0.468 | |
| HeatGeo2026.07 | 0.953 | 0.973 | 0.74 | 0.757 | 0.191 | |
| Diffusion Maps2026.07 | 0.893 | 0.962 | 0.701 | 0.682 | 0.074 | |
| Laplacian Eigenmaps2026.07 | 0.892 | 0.962 | 0.697 | 0.674 | 0.061 | |
| EntroPath2026.07 | 0.879 | 0.953 | 0.785 | 0.787 | 0.019 | |
| DTNE2026.07 | 0.872 | 0.962 | 0.829 | 0.827 | -0.006 | |
| Shortest Path2026.07 | 0.843 | 0.879 | 0.751 | 0.746 | -0.035 | |
| Isomap2026.07 | 0.82 | 0.943 | 0.711 | 0.723 | -0.021 | |
| MDS2026.07 | 0.812 | 0.856 | 0.65 | 0.647 | -0.071 | |
| PCA2026.07 | 0.807 | 0.926 | 0.621 | 0.642 | -0.02 | |
| PHATE2026.07 | 0.779 | 0.916 | 0.349 | 0.405 | -0.106 |