Clustering on MFeat Karhunen
92ARIPLSCAN
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 | 92 | — | — | |
| HDBSCAN*k=4, Cluster Selection Strategy=EOM, Persistence Measure=N/A, Dimensionality Reduction (UMAP)=min(50, D)2025.12 | 81 | — | — | |
| PLSCANk=4, Cluster Selection Strategy=Top-5 most persistent layer, Persistence Measure=lambda, Dimensionality Reduction (UMAP)=min(50, D)2025.12 | 81 | — | — | |
| PLSCANk=4, Cluster Selection Strategy=Top-5 most persistent layer, Persistence Measure=size-d, Dimensionality Reduction (UMAP)=min(50, D)2025.12 | 63 | — | — | |
| PLSCANk=4, Cluster Selection Strategy=Top-5 most persistent layer, Persistence Measure=size-lambda, Dimensionality Reduction (UMAP)=min(50, D)2025.12 | 63 | — | — | |
| PLSCANk=4, Cluster Selection Strategy=Top-5 most persistent layer, Persistence Measure=d, Dimensionality Reduction (UMAP)=min(50, D)2025.12 | 63 | — | — | |
| HDBSCAN*k=4, Cluster Selection Strategy=leaf, Persistence Measure=N/A, Dimensionality Reduction (UMAP)=min(50, D)2025.12 | 14 | — | — | |
| GTSA-PCAFeature Space=Two-dimensional, Clustering Algorithm=HDBSCAN2026.04 | 11.2 | 28.52 | 27.37 | |
| Kernel PCA (RBF)Feature Space=Two-dimensional, Clustering Algorithm=HDBSCAN2026.04 | 1.6 | 31.42 | 13.25 | |
| Regular PCAFeature Space=Two-dimensional, Clustering Algorithm=HDBSCAN2026.04 | 0.28 | 26.82 | 2.06 |