Image Document Clustering On Pendigits
Métriques
Accuracy (%)
NMI
runtime (s)
Résultats
Résultats de performance de divers modèles sur ce benchmark
Nom du modèle | Accuracy (%) | NMI | runtime (s) | Paper Title | Repository |
|---|---|---|---|---|---|
| DnC-SC | 82.27 | 82.86 | 0.64 | - | - |
| LBDM | 74.70 | - | 3.08 | Large-scale spectral clustering using diffusion coordinates on landmark-based bipartite graphs | - |
| U-SPEC | 81.68 | 81.68 | 2.07 | Divide-and-conquer based Large-Scale Spectral Clustering | |
| U-SPEC | - | 0.803 | 1.01 | Ultra-Scalable Spectral Clustering and Ensemble Clustering | - |
| LSC-R | 81.55 | 79.15 | 0.77 | Divide-and-conquer based Large-Scale Spectral Clustering | |
| LSC-K | 74.02 | 81.37 | 1.20 | Divide-and-conquer based Large-Scale Spectral Clustering | |
| SC_RB | - | - | 1.8 | Scalable Spectral Clustering Using Random Binning Features |
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