Image Clustering on MNIST (labelled)
99.2AccuracyADC
Evaluation results
| Method | Links | ||
|---|---|---|---|
| ADC2018.07 | 99.2 | — | |
| IICSub-head selection=lowest loss2018.07 | 99.2 | — | |
| IICSub-head selection=average2018.07 | 98.4 | 0.652 | |
| DAC2018.07 | 97.8 | — | |
| JULE2018.07 | 96.4 | — | |
| DECMethod based on k-means=true2018.07 | 84.3 | — | |
| Denoising AEDirectly learns clustering function=false2018.07 | 83.2 | — | |
| Variational Bayes AE2018.07 | 83.2 | — | |
| GANDirectly learns clustering function=false2018.07 | 82.8 | — | |
| Sparse AEDirectly learns clustering function=false2018.07 | 82.7 | — | |
| SWWAEDirectly learns clustering function=false2018.07 | 82.5 | — | |
| AEDirectly learns clustering function=false2018.07 | 81.2 | — | |
| Spectral clustering2018.07 | 69.6 | — | |
| DeepClusterMethod based on k-means=true, Directly learns clustering function=false, Source=authors original code2018.07 | 65.6 | — | |
| K-meansMethod based on k-means=true2018.07 | 57.2 | — | |
| TripletsDirectly learns clustering function=false2018.07 | 52.5 | — | |
| Random network2018.07 | 26.1 | — |