Clustering on Fashion-MNIST 5%
13.7ARIGTSA-PCA
Evaluation Results
| Method | Links | |||
|---|---|---|---|---|
| GTSA-PCADimensionality Reduction Method=GTSA-PCA, Projection Dimension=2D, Clustering Algorithm=Agglomerative Clustering, Linkage=Ward2026.04 | 13.7 | 26.51 | 32.58 | |
| Kernel PCA (RBF)Dimensionality Reduction Method=Kernel PCA (RBF), Projection Dimension=2D, Clustering Algorithm=Agglomerative Clustering, Linkage=Ward2026.04 | 7.93 | 20.53 | 20.02 | |
| Regular PCADimensionality Reduction Method=Regular PCA, Projection Dimension=2D, Clustering Algorithm=Agglomerative Clustering, Linkage=Ward2026.04 | 1.9 | 18.49 | 6.96 | |
| GTSA-PCA-WClustering Algorithm=HDBSCAN, Embedding Dimension=22026.04 | 0.1256 | 0.3466 | 0.3398 | |
| UMAPClustering Algorithm=HDBSCAN, Embedding Dimension=22026.04 | 0.0436 | 0.3446 | 0.2274 |