Clustering on Balance Scale
24.89ARIGTSA-PCA
Evaluation results
| Method | Links | |||||
|---|---|---|---|---|---|---|
| GTSA-PCADimensionality Reduction Method=GTSA-PCA, Projection Dimension=2D, Clustering Algorithm=Agglomerative Clustering, Linkage=Ward2026.04 | 24.89 | — | — | 54.81 | 28.7 | |
| Regular PCADimensionality Reduction Method=Regular PCA, Projection Dimension=2D, Clustering Algorithm=Agglomerative Clustering, Linkage=Ward2026.04 | 12.7 | — | — | 50.95 | 10.47 | |
| Kernel PCA (RBF)Dimensionality Reduction Method=Kernel PCA (RBF), Projection Dimension=2D, Clustering Algorithm=Agglomerative Clustering, Linkage=Ward2026.04 | 9.37 | — | — | 44.79 | 10.17 | |
| MeanShift++2021.04 | 8.83 | 22.68 | 0.09 | — | — | |
| MeanShift2021.04 | 8.36 | 21.66 | 16.02 | — | — |