Clustering on AP_Ovary_Kidney
44.4ARIGTSA-PCA-W
Evaluation results
| Method | Links | |||
|---|---|---|---|---|
| GTSA-PCA-WClustering Method=Agglomerative, Dimensionality=2D, Distance Metric=Wasserstein2026.04 | 44.4 | 72.7 | 43.56 | |
| UMAPClustering Method=Agglomerative, Dimensionality=2D2026.04 | 42.94 | 72.04 | 42.6 | |
| GTSA-PCA-WClustering Algorithm=HDBSCAN, Embedding Dimension=22026.04 | 0.4891 | 0.7153 | 0.4333 | |
| UMAPClustering Algorithm=HDBSCAN, Embedding Dimension=22026.04 | -0.0187 | 0.6269 | 0.0659 |