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ResearchFormerly WizWand

Clustering on CGM

0.053ARIMMD GMM (Gaussian)
-0.002120.012190.02650.04081May 7, 2026
Updated 5mo ago

Evaluation results

MethodLinks
MMD GMM (Gaussian)Space=Hilbert, Train=O(nK), Infer=O(nK), Memory=O(nK)2026.050.053
MMD GMM (Polynomial)Space=Hilbert, Train=O(nK), Infer=O(nK), Memory=O(nK)2026.050.051
Projected GMM (Appendix D)Space=Hilbert, Train=O(nK), Infer=O(nK), Memory=O(nK)2026.050.034
fclustSpace=L^2, Train=O(nK), Infer=O(nK), Memory=O(nK)2026.050.03
FDA K-MeansSpace=L^2, Train=O(nK), Infer=O(nK), Memory=O(nK)2026.050.023
K-MedoidsSpace=Metric, Train=O(n^2 K), Infer=O(nK), Memory=O(n^2)2026.050.02
FDA Fuzzy C-MeansSpace=L^2, Train=O(nK), Infer=O(nK), Memory=O(nK)2026.050.02
Kernel k-GroupsSpace=Metric, Train=O(Kn^2), Memory=O(n^2)2026.050.019
FunclustSpace=L^2, Train=O(nK), Infer=O(nK), Memory=O(nK)2026.050.015
FunHDDCSpace=L^2, Train=O(nK), Infer=O(nK), Memory=O(nK)2026.050.013
CurvclustSpace=L^2, Train=O(nK), Infer=O(nK), Memory=O(nK)2026.050.012
Hierarchical (Avg)Space=Metric, Train=O(n^2 log n), Memory=O(n^2)2026.050.002
K-CenterSpace=Metric, Train=O(nK), Infer=O(nK), Memory=O(n)2026.050.002
K-CentresSpace=L^2, Train=O(nK), Infer=O(nK), Memory=O(nK)2026.050.001
DBSCANSpace=Metric, Train=O(n), Memory=O(n)2026.050
HDBSCANSpace=Metric, Train=O(n), Memory=O(n)2026.050