Image Clustering On Har
評価指標
Accuracy
NMI
評価結果
このベンチマークにおける各モデルのパフォーマンス結果
モデル名 | 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 |
0 of 3 row(s) selected.