Clustering on Diabetes
0.46Silhouette ScoreHierarchical
Evaluation results
| Method | Links | |||||
|---|---|---|---|---|---|---|
| HierarchicalLinkage Technique=Ward2021.11 | 0.46 | — | — | — | 69.3 | |
| DTC2021.11 | 0.46 | — | — | — | 66.88 | |
| K-means2021.11 | 0.46 | — | — | — | 69.34 | |
| HierarchicalLinkage Technique=Single2021.11 | 0.41 | — | — | — | 69.3 | |
| HierarchicalLinkage Technique=Average2021.11 | 0.41 | — | — | — | 66.5 | |
| HierarchicalLinkage Technique=Complete2021.11 | 0.41 | — | — | — | 62.4 | |
| GTSA-PCA-WClustering Method=Agglomerative, Dimensionality=2D, Distance Metric=Wasserstein2026.04 | — | 0.1008 | 0.5731 | 0.0751 | — | |
| GTSA-PCA-WClustering Algorithm=HDBSCAN, Embedding Dimension=22026.04 | — | 0.0297 | 0.6728 | 0.0067 | — | |
| UMAPClustering Method=Agglomerative, Dimensionality=2D2026.04 | — | 0.0082 | 0.7064 | 0.0012 | — | |
| UMAPClustering Algorithm=HDBSCAN, Embedding Dimension=22026.04 | — | 0.016 | 0.5565 | 0.0044 | — |