Image Clustering On Har
Metrics
Accuracy
NMI
Results
Performance results of various models on this benchmark
Model Name | Accuracy | NMI | Paper Title | Repository |
|---|---|---|---|---|
| Selective HAR Clustering | 0.753 | 0.760 | Efficient Deep Clustering of Human Activities and How to Improve Evaluation | |
| N2D (UMAP) | 0.801 | 0.683 | N2D: (Not Too) Deep Clustering via Clustering the Local Manifold of an Autoencoded Embedding | |
| FCMI | 0.882 | 0.807 | Deep Fair Clustering via Maximizing and Minimizing Mutual Information: Theory, Algorithm and Metric |
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