Clustering on threeOf9
33.53ARIGTSA-PCA-W
Evaluation results
| Method | Links | |||
|---|---|---|---|---|
| GTSA-PCA-WClustering Method=Agglomerative, Dimensionality=2D, Distance Metric=Wasserstein2026.04 | 33.53 | 66.73 | 0.2595 | |
| UMAPClustering Method=Agglomerative, Dimensionality=2D2026.04 | 5.72 | 52.81 | 0.0432 | |
| GTSA-PCA-WClustering Algorithm=HDBSCAN, Embedding Dimension=22026.04 | 0.0712 | 0.314 | 0.162 | |
| UMAPClustering Algorithm=HDBSCAN, Embedding Dimension=22026.04 | 0.0141 | 0.2893 | 0.0608 |