Clustering Algorithms Evaluation On Mnist
Metrics
ARI
F1-score
NMI
Results
Performance results of various models on this benchmark
Model Name | ARI | F1-score | NMI | Paper Title | Repository |
|---|---|---|---|---|---|
| k-Means++ | 36% | 50% | 45% | Git: Clustering Based on Graph of Intensity Topology | |
| GIT | 42% | 59% | 53% | Git: Clustering Based on Graph of Intensity Topology | |
| SpectACI | 17% | 40% | 33% | Git: Clustering Based on Graph of Intensity Topology | |
| QuickShiftPP | 13% | 45% | 45% | Git: Clustering Based on Graph of Intensity Topology | |
| Spectral Clustering | 33% | 41% | 44% | Git: Clustering Based on Graph of Intensity Topology | |
| AE+GIT | 77% | 88% | 81% | Git: Clustering Based on Graph of Intensity Topology |
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