Clustering on MNIST (Clustering accuracy)
98.7Clustering AccuracyADC
Evaluation Results
| Method | Links | |
|---|---|---|
| ADC# runs=20, Clustering domain=learned features, Data augmentation=true2026.04 | 98.7 | |
| SCAE# runs=5, Clustering domain=learned features, Data augmentation=true2026.04 | 98.7 | |
| IMSAT# runs=12 (5), Clustering domain=learned features, Data augmentation=true2026.04 | 98.4 | |
| IIC# runs=5, Clustering domain=learned features, Data augmentation=true2026.04 | 98.4 | |
| DSCDAN# runs=10, Clustering domain=learned features2026.04 | 97.8 | |
| DTI-Clustering# runs=10, Clustering domain=pixels2026.04 | 97.3 | |
| SpectralNet# runs=5, Clustering domain=learned features, Data augmentation=true2026.04 | 97.1 | |
| Ours-C# runs=10, Clustering domain=pixels, Number of layers=1 layer2026.04 | 96.7 | |
| DEPICT# runs=5, Clustering domain=learned features2026.04 | 96.5 | |
| JULE# runs=3, Clustering domain=learned features2026.04 | 96.4 | |
| K-means# runs=10, Clustering domain=pixels2026.04 | 54.8 | |
| MCFSNumber of selected features=502020.12 | 35.2 |