Clustering on PBMC
79.8HomogeneityPHATE
Evaluation results
| Method | Links | ||
|---|---|---|---|
| PHATE2023.05 | 79.8 | 78.5 | |
| HeatGeo2023.05 | 73.4 | 76.8 | |
| HeatGeoEmbedding dimension=2D, Clustering algorithm=k-means2026.07 | 73 | 63.3 | |
| PHATEEmbedding dimension=2D, Clustering algorithm=k-means2026.07 | 72.5 | 70.3 | |
| DTNEEmbedding dimension=2D, Clustering algorithm=k-means2026.07 | 69.1 | 70.7 | |
| t-SNE2023.05 | 60.5 | 54.4 | |
| t-SNEEmbedding dimension=2D, Clustering algorithm=k-means2026.07 | 51.4 | 45 | |
| EntroPathEmbedding dimension=2D, Clustering algorithm=k-means2026.07 | 51.4 | 44.3 | |
| Diffusion MapsEmbedding dimension=2D, Clustering algorithm=k-means2026.07 | 32.5 | 33.9 | |
| UMAP2023.05 | 17.7 | 14.8 | |
| IsomapEmbedding dimension=2D, Clustering algorithm=k-means2026.07 | 15.5 | 13.9 | |
| UMAPEmbedding dimension=2D, Clustering algorithm=k-means2026.07 | 14 | 11.3 | |
| Metric MDSEmbedding dimension=2D, Clustering algorithm=k-means2026.07 | 5.8 | 4 | |
| Diffusion Maps2023.05 | 2.6 | 3.8 |