Clustering on AP_Lung_Kidney
0.4912ARIGTSA-PCA-W
Evaluation results
| Method | Links | |||
|---|---|---|---|---|
| GTSA-PCA-WClustering Algorithm=HDBSCAN, Embedding Dimension=22026.04 | 0.4912 | 0.7531 | 0.3906 | |
| GTSA-PCA-WClustering Method=Agglomerative, Dimensionality=2D, Distance Metric=Wasserstein2026.04 | 0.3194 | 0.7576 | 0.2565 | |
| GTSA-PCADimensionality Reduction Method=GTSA-PCA, Projection Dimension=2D, Clustering Algorithm=Agglomerative Clustering, Linkage=Ward2026.04 | 0.3104 | 0.7557 | 0.2493 | |
| UMAPClustering Method=Agglomerative, Dimensionality=2D2026.04 | 0.1106 | 0.5951 | 0.2176 | |
| Kernel PCA (RBF)Dimensionality Reduction Method=Kernel PCA (RBF), Projection Dimension=2D, Clustering Algorithm=Agglomerative Clustering, Linkage=Ward2026.04 | 0.0692 | 0.6093 | 0.0255 | |
| Regular PCADimensionality Reduction Method=Regular PCA, Projection Dimension=2D, Clustering Algorithm=Agglomerative Clustering, Linkage=Ward2026.04 | 0.0098 | 0.7289 | 0.0024 | |
| UMAPClustering Algorithm=HDBSCAN, Embedding Dimension=22026.04 | -0.0723 | 0.635 | 0.0746 |