Clustering on mfeat zernike
0.2679ARIGTSA-PCA
Evaluation Results
| Method | Links | |||
|---|---|---|---|---|
| GTSA-PCADimensionality Reduction Method=GTSA-PCA, Projection Dimension=2D, Clustering Algorithm=Agglomerative Clustering, Linkage=Ward2026.04 | 0.2679 | 0.3522 | 0.4362 | |
| Kernel PCA (RBF)Dimensionality Reduction Method=Kernel PCA (RBF), Projection Dimension=2D, Clustering Algorithm=Agglomerative Clustering, Linkage=Ward2026.04 | 0.2031 | 0.3024 | 0.3657 | |
| Regular PCADimensionality Reduction Method=Regular PCA, Projection Dimension=2D, Clustering Algorithm=Agglomerative Clustering, Linkage=Ward2026.04 | 0.168 | 0.2868 | 0.3204 |