Clustering on Tree manifold
70.7HomogeneityEntroPath
Evaluation results
| Method | Links | ||
|---|---|---|---|
| EntroPathEmbedding dimension=2D, Clustering algorithm=k-means2026.07 | 70.7 | 71.7 | |
| UMAPEmbedding dimension=2D, Clustering algorithm=k-means2026.07 | 70 | 70.9 | |
| DTNEEmbedding dimension=2D, Clustering algorithm=k-means2026.07 | 67.6 | 68.5 | |
| Metric MDSEmbedding dimension=2D, Clustering algorithm=k-means2026.07 | 65.4 | 66.3 | |
| Diffusion MapsEmbedding dimension=2D, Clustering algorithm=k-means2026.07 | 65 | 67.2 | |
| HeatGeoEmbedding dimension=2D, Clustering algorithm=k-means2026.07 | 63.6 | 64 | |
| t-SNEEmbedding dimension=2D, Clustering algorithm=k-means2026.07 | 62.1 | 62.3 | |
| IsomapEmbedding dimension=2D, Clustering algorithm=k-means2026.07 | 60.7 | 63 | |
| PHATEEmbedding dimension=2D, Clustering algorithm=k-means2026.07 | 55.5 | 55.7 |