Clustering on USPS (full)
0.953NMIConvDEC-DA
Evaluation results
| Method | Links | ||
|---|---|---|---|
| ConvDEC-DAData Augmentation=true2018.12 | 0.953 | 97 | |
| DDC-DAData Augmentation=true2018.12 | 0.939 | 97.7 | |
| DEPICTLearning Paradigm=Deep Learning, Requires knowing number of clusters=true, beta=22020.02 | 0.927 | — | |
| DDC2018.12 | 0.918 | 96.7 | |
| JULE2018.12 | 0.913 | 95 | |
| JULELearning Paradigm=Deep Learning, Requires knowing number of clusters=true, beta=22020.02 | 0.913 | — | |
| alpha-clusteringLearning Paradigm=Non-deep learning, Requires knowing number of clusters=false, beta=22020.02 | 0.885 | — | |
| ICA BSSLearning Paradigm=Non-deep learning, Requires knowing number of clusters=true, beta=22020.02 | 0.868 | — | |
| DED2018.12 | 0.855 | 78.1 | |
| AC-PICLearning Paradigm=Non-deep learning, Requires knowing number of clusters=true, beta=22020.02 | 0.84 | — | |
| DCECLearning Paradigm=Deep Learning, Requires knowing number of clusters=true, beta=22020.02 | 0.826 | — | |
| ConvDEC2018.12 | 0.82 | 78.4 | |
| IDEC2018.12 | 0.777 | 75.9 | |
| DEC2018.12 | 0.769 | 75.8 | |
| DBCLearning Paradigm=Deep Learning, Requires knowing number of clusters=true, beta=22020.02 | 0.724 | — | |
| DCN2018.12 | 0.683 | 68.8 | |
| AECLearning Paradigm=Deep Learning, Requires knowing number of clusters=true, beta=22020.02 | 0.651 | — | |
| IECLearning Paradigm=Deep Learning, Requires knowing number of clusters=true, beta=22020.02 | 0.641 | — | |
| K-meansLearning Paradigm=Non-deep learning, Requires knowing number of clusters=true, beta=22020.02 | 0.613 | — | |
| k-means2018.12 | 0.607 | 61.1 | |
| DenPeak2018.12 | 0.433 | 39 | |
| DBSCANLearning Paradigm=Non-deep learning, Requires knowing number of clusters=false, beta=22020.02 | 0.299 | — | |
| NMF-DLearning Paradigm=Deep Learning, Requires knowing number of clusters=true, beta=22020.02 | 0.287 | — | |
| DBSCAN2018.12 | 0 | 16.7 |