Clustering on heart-c
0.4045ARIGTSA-PCA-W
Evaluation results
| Method | Links | |||
|---|---|---|---|---|
| GTSA-PCA-WClustering Method=Agglomerative, Dimensionality=2D, Distance Metric=Wasserstein2026.04 | 0.4045 | 0.7058 | 0.33 | |
| UMAPClustering Method=Agglomerative, Dimensionality=2D2026.04 | 0.2208 | 0.6107 | 0.1684 | |
| GTSA-PCAFeature Space=Two-dimensional, Clustering Algorithm=HDBSCAN2026.04 | 0.1782 | 0.559 | 0.1857 | |
| Kernel PCA (RBF)Feature Space=Two-dimensional, Clustering Algorithm=HDBSCAN2026.04 | 0.1191 | 0.5328 | 0.1065 | |
| Regular PCAFeature Space=Two-dimensional, Clustering Algorithm=HDBSCAN2026.04 | 0.0852 | 0.5133 | 0.1354 |