Image Clustering On Mnist Test
Métriques
Accuracy
NMI
Résultats
Résultats de performance de divers modèles sur ce benchmark
Tableau comparatif
| Nom du modèle | Accuracy | NMI |
|---|---|---|
| deep-density-based-image-clustering | 0.965 | 0.916 |
| scattering-transform-based-image-clustering | 0.967 | 0.919 |
| deep-transformation-invariant-clustering | 0.978 | 0.947 |
| graph-degree-linkage-agglomerative-clustering | - | 0.91 |
| n2dnot-too-deep-clustering-via-clustering-the | 0.948 | 0.882 |
| deep-clustering-on-the-link-between | 0.863 | 0.873 |
| deep-density-based-image-clustering | 0.97 | 0.927 |
| graph-degree-linkage-agglomerative-clustering | - | 0.844 |
| joint-unsupervised-learning-of-deep | - | 0.915 |
| improving-k-means-clustering-performance-with | 0.962 | 0.903 |
| deep-clustering-with-a-dynamic-autoencoder | 0.987 | 0.963 |