Clustering on CGM
0.053ARIMMD GMM (Gaussian)
Evaluation Results
| Method | Links | |
|---|---|---|
| MMD GMM (Gaussian)Space=Hilbert, Train=O(nK), Infer=O(nK), Memory=O(nK)2026.05 | 0.053 | |
| MMD GMM (Polynomial)Space=Hilbert, Train=O(nK), Infer=O(nK), Memory=O(nK)2026.05 | 0.051 | |
| Projected GMM (Appendix D)Space=Hilbert, Train=O(nK), Infer=O(nK), Memory=O(nK)2026.05 | 0.034 | |
| fclustSpace=L^2, Train=O(nK), Infer=O(nK), Memory=O(nK)2026.05 | 0.03 | |
| FDA K-MeansSpace=L^2, Train=O(nK), Infer=O(nK), Memory=O(nK)2026.05 | 0.023 | |
| K-MedoidsSpace=Metric, Train=O(n^2 K), Infer=O(nK), Memory=O(n^2)2026.05 | 0.02 | |
| FDA Fuzzy C-MeansSpace=L^2, Train=O(nK), Infer=O(nK), Memory=O(nK)2026.05 | 0.02 | |
| Kernel k-GroupsSpace=Metric, Train=O(Kn^2), Memory=O(n^2)2026.05 | 0.019 | |
| FunclustSpace=L^2, Train=O(nK), Infer=O(nK), Memory=O(nK)2026.05 | 0.015 | |
| FunHDDCSpace=L^2, Train=O(nK), Infer=O(nK), Memory=O(nK)2026.05 | 0.013 | |
| CurvclustSpace=L^2, Train=O(nK), Infer=O(nK), Memory=O(nK)2026.05 | 0.012 | |
| Hierarchical (Avg)Space=Metric, Train=O(n^2 log n), Memory=O(n^2)2026.05 | 0.002 | |
| K-CenterSpace=Metric, Train=O(nK), Infer=O(nK), Memory=O(n)2026.05 | 0.002 | |
| K-CentresSpace=L^2, Train=O(nK), Infer=O(nK), Memory=O(nK)2026.05 | 0.001 | |
| DBSCANSpace=Metric, Train=O(n), Memory=O(n)2026.05 | 0 | |
| HDBSCANSpace=Metric, Train=O(n), Memory=O(n)2026.05 | 0 |