Clustering on Generated dataset (15 quantitative features and 15 categorical features) 1.0
122.833Calinski Harabasz ScorePretopo-PaCMAP
Evaluation Results
| Method | Links | ||||
|---|---|---|---|---|---|
| Pretopo-PaCMAP2025.11 | 122.833 | 0.227 | 0.107 | 1.681 | |
| Kamila2025.11 | 120.934 | 0.196 | 0.088 | 1.817 | |
| Modha-Spangler2025.11 | 120.934 | 0.196 | 0.088 | 1.817 | |
| Phillip & Ottaway2025.11 | 119.284 | 0.195 | 0.087 | 1.831 | |
| DenseClus2025.11 | 118.048 | 0.218 | 0.102 | 1.723 | |
| K-Prototypes2025.11 | 118.048 | 0.191 | 0.085 | 1.862 | |
| Pretopo-FAMD2025.11 | 0.631 | -0.03 | -0.001 | 3.079 | |
| ClustMD2025.11 | 0 | -1 | -1 | -1 | |
| MixtComp2025.11 | 0 | -1 | -1 | -1 | |
| Pretopo-UMAP2025.11 | 0 | -1 | -1 | -1 | |
| PretopoMD2025.11 | 0 | -1 | -1 | -1 |