Clustering on AP_Colon_Lung
0.6476ARIGTSA-PCA-W
Evaluation results
| Method | Links | |||
|---|---|---|---|---|
| GTSA-PCA-WClustering Algorithm=HDBSCAN, Embedding Dimension=22026.04 | 0.6476 | 0.8316 | 0.4854 | |
| GTSA-PCA-WClustering Method=Agglomerative, Dimensionality=2D, Distance Metric=Wasserstein2026.04 | 0.3641 | 0.7503 | 0.2536 | |
| UMAPClustering Method=Agglomerative, Dimensionality=2D2026.04 | 0.276 | 0.6594 | 0.2491 | |
| GTSA-PCAFeature Space=Two-dimensional, Clustering Algorithm=HDBSCAN2026.04 | 0.1762 | 0.6254 | 0.0873 | |
| UMAPClustering Algorithm=HDBSCAN, Embedding Dimension=22026.04 | 0.1311 | 0.5227 | 0.1638 | |
| Kernel PCA (RBF)Feature Space=Two-dimensional, Clustering Algorithm=HDBSCAN2026.04 | 0.0864 | 0.5384 | 0.0298 | |
| Regular PCAFeature Space=Two-dimensional, Clustering Algorithm=HDBSCAN2026.04 | -0.0283 | 0.5964 | 0.0124 |