Clustering on MNIST (Homog., aMI)
88Homogeneityt-SNE
Evaluation Results
| Method | Links | ||
|---|---|---|---|
| t-SNEEmbedding dimension=2D, Clustering algorithm=k-means2026.07 | 88 | 87.9 | |
| UMAPEmbedding dimension=2D, Clustering algorithm=k-means2026.07 | 85.1 | 85.2 | |
| HeatGeoEmbedding dimension=2D, Clustering algorithm=k-means2026.07 | 84.2 | 84 | |
| EntroPathEmbedding dimension=2D, Clustering algorithm=k-means2026.07 | 78.5 | 78.6 | |
| DTNEEmbedding dimension=2D, Clustering algorithm=k-means2026.07 | 73.3 | 73.4 | |
| PHATEEmbedding dimension=2D, Clustering algorithm=k-means2026.07 | 73.2 | 73.4 | |
| IsomapEmbedding dimension=2D, Clustering algorithm=k-means2026.07 | 66.5 | 66.3 | |
| Diffusion MapsEmbedding dimension=2D, Clustering algorithm=k-means2026.07 | 61.3 | 67.8 | |
| Metric MDSEmbedding dimension=2D, Clustering algorithm=k-means2026.07 | 58.2 | 57.4 |