Clustering on Generated synthetic dataset with 10 clusters (test)
127.624Calinski HarabaszPretopoUMAP
Evaluation Results
| Method | Links | ||||
|---|---|---|---|---|---|
| PretopoUMAPBackbone=Pretopological Algorithm, Feature Reduction=UMAP2025.11 | 127.624 | 0.353 | 0.359 | 1.122 | |
| ClustMD2025.11 | 95.934 | 0.175 | 0.197 | 2.216 | |
| K-Prototypes2025.11 | 92.096 | 0.168 | 0.185 | 2.263 | |
| Kamila2025.11 | 86.348 | 0.16 | 0.157 | 2.12 | |
| MixtComp2025.11 | 83.316 | 0.163 | 0.205 | 2.163 | |
| DenseClus2025.11 | 81.313 | 0.183 | 0.2 | 1.914 | |
| Modha-Spangler2025.11 | 79.214 | 0.153 | 0.206 | 2.421 | |
| Phillip & Ottaway2025.11 | 70.949 | 0.194 | 0.213 | 1.19 | |
| PretopoPaCMAPBackbone=Pretopological Algorithm, Feature Reduction=PaCMAP2025.11 | 66.87 | 0.174 | 0.154 | 1.557 | |
| PretopoMDBackbone=Pretopological Algorithm, Feature Reduction=MD2025.11 | 48.178 | 0.108 | 0.164 | 2.197 | |
| PretopoFAMDBackbone=Pretopological Algorithm, Feature Reduction=FAMD2025.11 | 14.482 | -0.015 | -0.018 | 2.219 |