Image Clustering On Har
评估指标
Accuracy
NMI
评测结果
各个模型在此基准测试上的表现结果
| Paper Title | Repository | |||
|---|---|---|---|---|
| FCMI | 0.882 | 0.807 | Deep Fair Clustering via Maximizing and Minimizing Mutual Information: Theory, Algorithm and Metric | |
| N2D (UMAP) | 0.801 | 0.683 | N2D: (Not Too) Deep Clustering via Clustering the Local Manifold of an Autoencoded Embedding | |
| Selective HAR Clustering | 0.753 | 0.760 | Efficient Deep Clustering of Human Activities and How to Improve Evaluation |
0 of 3 row(s) selected.