Clustering on RGB-D Object
0.639NMIMvDSCN
Evaluation Results
| Method | Links | ||||
|---|---|---|---|---|---|
| MvDSCNfeature_source=joint deep feature learning and subspace clustering, feature_dimension=40962019.08 | 0.639 | 38.8 | 0.21 | 23.5 | |
| DCPfeature_source=deep autoencoder, feature_dimension=40962019.08 | 0.627 | 36.9 | 0.199 | 22.1 | |
| SUREfeature_source=deep autoencoder, feature_dimension=40962019.08 | 0.622 | 37.3 | 0.202 | 22.8 | |
| IMVTSC-MVIfeature_source=deep autoencoder, feature_dimension=40962019.08 | 0.62 | 36.7 | 0.196 | 22.3 | |
| DMSC-UDLfeature_source=deep autoencoder, feature_dimension=40962019.08 | 0.611 | 35.9 | 0.197 | 21.1 | |
| MSCNfeature_source=deep autoencoder, feature_dimension=40962019.08 | 0.608 | 35.4 | 0.19 | 20.3 | |
| CPMfeature_source=deep autoencoder, feature_dimension=40962019.08 | 0.606 | 32.1 | 0.164 | 20.9 | |
| Min Disagreementfeature_source=deep autoencoder, feature_dimension=40962019.08 | 0.605 | 33.2 | 0.16 | 17.7 | |
| RMSCfeature_source=deep autoencoder, feature_dimension=40962019.08 | 0.603 | 34.1 | 0.162 | 17.8 | |
| Co-Regfeature_source=deep autoencoder, feature_dimension=40962019.08 | 0.602 | 26.8 | 0.155 | 17.5 | |
| DCfeature_source=deep autoencoder, feature_dimension=40962019.08 | 0.594 | 34.3 | 0.177 | 18.4 | |
| LMSCfeature_source=deep autoencoder, feature_dimension=40962019.08 | 0.593 | 33.5 | 0.151 | 16.7 | |
| DCSCfeature_source=deep autoencoder, feature_dimension=40962019.08 | 0.591 | 34 | 0.17 | 18.2 | |
| LRRfeature_source=deep autoencoder, feature_dimension=40962019.08 | 0.589 | 29.9 | 0.143 | 15.6 | |
| DSCNfeature_source=deep autoencoder, feature_dimension=40962019.08 | 0.589 | 33.9 | 0.163 | 17.9 | |
| FMRfeature_source=deep autoencoder, feature_dimension=40962019.08 | 0.576 | 28.4 | 0.144 | 14.6 | |
| BestSVfeature_source=deep autoencoder, feature_dimension=40962019.08 | 0.554 | 27.8 | 0.106 | 12.5 | |
| DMFfeature_source=deep autoencoder, feature_dimension=40962019.08 | 0.549 | 28.6 | 0.107 | 12.3 |