Image Clustering On Usps
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
比较表格
| 模型名称 | Accuracy | NMI |
|---|---|---|
| deep-transformation-invariant-clustering | 0.864 | 0.882 |
| interpretable-visualizations-with | 0.979 | 0.944 |
| balanced-self-paced-learning-for-generative | 0.970 | 0.931 |
| graph-degree-linkage-agglomerative-clustering | - | 0.824 |
| deep-multimodal-subspace-clustering-networks | 0.951 | 0.929 |
| discriminatively-boosted-image-clustering | 0.743 | 0.724 |
| scattering-transform-based-image-clustering | 0.957 | 0.898 |
| joint-unsupervised-learning-of-deep | - | 0.913 |
| selective-pseudo-label-clustering | 0.984 | 0.954 |
| deep-density-based-image-clustering | 0.977 | 0.939 |
| deep-density-based-image-clustering | 0.967 | 0.918 |
| deep-clustering-on-the-link-between | 0.974 | 0.936 |
| deep-clustering-with-a-dynamic-autoencoder | 0.981 | 0.948 |
| n2dnot-too-deep-clustering-via-clustering-the | 0.958 | 0.901 |
| tree-sne-hierarchical-clustering-and | - | 0.885 |
| divide-and-conquer-based-large-scale-spectral | 0.8255 | 0.8286 |