Clustering on MFeat factors
0.83ARIPLSCAN
Evaluation Results
| Method | Links | |
|---|---|---|
| PLSCANk=4, Cluster Selection Strategy=Top-5 most persistent layer, Persistence Measure=size, Dimensionality Reduction (UMAP)=min(50, D)2025.12 | 0.83 | |
| PLSCANk=4, Cluster Selection Strategy=Top-5 most persistent layer, Persistence Measure=size-lambda, Dimensionality Reduction (UMAP)=min(50, D)2025.12 | 0.78 | |
| PLSCANk=4, Cluster Selection Strategy=Top-5 most persistent layer, Persistence Measure=d, Dimensionality Reduction (UMAP)=min(50, D)2025.12 | 0.58 | |
| HDBSCAN*k=4, Cluster Selection Strategy=EOM, Persistence Measure=N/A, Dimensionality Reduction (UMAP)=min(50, D)2025.12 | 0.56 | |
| PLSCANk=4, Cluster Selection Strategy=Top-5 most persistent layer, Persistence Measure=size-d, Dimensionality Reduction (UMAP)=min(50, D)2025.12 | 0.48 | |
| PLSCANk=4, Cluster Selection Strategy=Top-5 most persistent layer, Persistence Measure=lambda, Dimensionality Reduction (UMAP)=min(50, D)2025.12 | 0.23 | |
| HDBSCAN*k=4, Cluster Selection Strategy=leaf, Persistence Measure=N/A, Dimensionality Reduction (UMAP)=min(50, D)2025.12 | 0.16 |