Deep Clustering on Fashion-MNIST 60k samples (train test)
0.97SCDCAM
Evaluation Results
| Method | Links | ||||||
|---|---|---|---|---|---|---|---|
| DCAMAE Architecture=CAE2026.01 | 0.97 | 0.472 | 0.012 | 1.6 | 2.83 | — | |
| DCECAE Architecture=CAE2026.01 | 0.923 | 0.558 | 0.0134 | 9.8 | 3.23 | — | |
| DCECAE Architecture=RAE2026.01 | 0.726 | 0.624 | 0.0091 | 9.6 | 3.23 | — | |
| DCAMAE Architecture=RAE2026.01 | 0.712 | 0.488 | 0.0091 | 9.6 | 3.11 | — | |
| DCAMAE Architecture=EAE2026.01 | 0.663 | 0.511 | 0.0096 | 10 | 3.14 | — | |
| EDCWRNAE Architecture=CAE2026.01 | 0.483 | 0.495 | 0.0096 | 10 | 3.11 | — | |
| ClAMAE Architecture=CAE2026.01 | 0.279 | 0.622 | 0.0122 | 0 | 2.8 | — | |
| DEKMAE Architecture=CAE2026.01 | 0.26 | 0.551 | 0.0105 | 13.9 | 3.14 | — | |
| DEKMAE Architecture=RAE2026.01 | 0.258 | 0.609 | 0.0097 | 18.1 | 3.15 | — | |
| KmeansAE Architecture=CAE2026.01 | 0.257 | 0.643 | 0.0122 | 0 | 3.17 | — | |
| AggloAE Architecture=CAE2026.01 | 0.201 | 0.624 | 0.0122 | 0 | 3.2 | — | |
| ClAMAE Architecture=NAE2026.01 | 0.158 | 0.521 | — | — | 2.81 | — | |
| KmeansAE Architecture=NAE2026.01 | 0.154 | 0.511 | — | — | 3.17 | — | |
| AggloAE Architecture=NAE2026.01 | 0.109 | 0.534 | — | — | 3.14 | — |