Clustering on semeion
58ARICluProp
Evaluation Results
| Method | Links | ||||
|---|---|---|---|---|---|
| CluPropkNN type=exact kNN, Clustering algorithm=Leiden, Distance metric=cosine2026.05 | 58 | — | — | 71 | |
| DBHDDistance metric=cosine2026.05 | 57 | — | — | 66 | |
| PHIDAEnvironment=Nonstationary, Runs=30 independent2026.05 | 36.1 | — | — | 52.8 | |
| SCDistance metric=cosine2026.05 | 35 | — | — | 50 | |
| IDATEnvironment=Nonstationary, Runs=30 independent2026.05 | 29.9 | — | — | 46.3 | |
| SOINN+Environment=Nonstationary, Runs=30 independent2026.05 | 29.5 | — | — | 49.5 | |
| DPCDistance metric=cosine2026.05 | 29 | — | — | 48 | |
| DPADistance metric=cosine2026.05 | 26 | — | — | 46 | |
| CAEAEnvironment=Nonstationary, Runs=30 independent2026.05 | 22.4 | — | — | 50.5 | |
| SpecAClDistance metric=cosine2026.05 | 20 | — | — | 47 | |
| GTSA-PCADimensionality Reduction Method=GTSA-PCA, Projection Dimension=2D, Clustering Algorithm=Agglomerative Clustering, Linkage=Ward2026.04 | 16.67 | 25.79 | 33.21 | — | |
| GNGEnvironment=Nonstationary, Runs=30 independent2026.05 | 13.1 | — | — | 33.4 | |
| CAEEnvironment=Nonstationary, Runs=30 independent2026.05 | 8.5 | — | — | 16.7 | |
| Kernel PCA (RBF)Dimensionality Reduction Method=Kernel PCA (RBF), Projection Dimension=2D, Clustering Algorithm=Agglomerative Clustering, Linkage=Ward2026.04 | 4.88 | 25.55 | 20.94 | — | |
| DDVFAEnvironment=Nonstationary, Runs=30 independent2026.05 | 2.9 | — | — | 14.8 | |
| Regular PCADimensionality Reduction Method=Regular PCA, Projection Dimension=2D, Clustering Algorithm=Agglomerative Clustering, Linkage=Ward2026.04 | 2.03 | 19.12 | 9.01 | — | |
| DbscanDistance metric=cosine2026.05 | 1 | — | — | 38 | |
| OpticsDistance metric=cosine2026.05 | 1 | — | — | 38 | |
| hDbscanDistance metric=cosine2026.05 | 1 | — | — | 41 |