Subspace Clustering on MNIST
99Average Clustering Accuracy (%)A-DSSC
Evaluation results
| Method | Links | ||||
|---|---|---|---|---|---|
| A-DSSCMethod Category=Doubly Stochastic2020.11 | 99 | — | — | — | |
| EnSC-ORGENsolver=ORGEN2016.05 | 93.79 | — | 1,680 | 26.6 | |
| SSC-SPAMSsolver=active set method2016.05 | 92.46 | — | 81,000 | 25.4 | |
| SSC-OMPNo. points=60002015.07 | 91.25 | 33.22 | 760.9 | — | |
| SSC-OMPNo. points=40002015.07 | 91.22 | 34.22 | 410.4 | — | |
| SSC-OMPNo. points=20002015.07 | 90.6 | 36.2 | 93.8 | — | |
| kSCNMethod Category=Neural2020.11 | 87.1 | — | — | — | |
| SSC-OMPNo. points=10002015.07 | 86.67 | 38.73 | 11.4 | — | |
| SSC-BPNo. points=40002015.07 | 86 | 17.8 | 4,533 | — | |
| NSN2016.05 | 85.82 | — | 17,880 | 12 | |
| SSC-BPNo. points=60002015.07 | 85.6 | 16.08 | 13,605 | — | |
| SSC-BPNo. points=20002015.07 | 85.58 | 21.07 | 635.2 | — | |
| TSC2016.05 | 85 | — | 1,800 | 8 | |
| SSC-BPNo. points=10002015.07 | 84.06 | 24.88 | 97.9 | — | |
| SSC-OMPNo. points=5002015.07 | 83.64 | 42.13 | 2.7 | — | |
| SSC-BPNo. points=5002015.07 | 83.01 | 29.56 | 20.1 | — | |
| LSRNo. points=60002015.07 | 79.91 | 82.18 | 327.6 | — | |
| LRSCNo. points=60002015.07 | 79.88 | 83.27 | 312.9 | — | |
| LRSCNo. points=10002015.07 | 79.76 | 81.99 | 6.4 | — | |
| LRSCNo. points=20002015.07 | 79.44 | 82.67 | 43 | — | |
| LSRNo. points=40002015.07 | 79.06 | 81.75 | 136.1 | — | |
| LRSCNo. points=40002015.07 | 78.46 | 83.15 | 145.6 | — | |
| LSRNo. points=10002015.07 | 78.42 | 79.68 | 5.9 | — | |
| LSRNo. points=20002015.07 | 78.09 | 80.83 | 42.4 | — | |
| LSRNo. points=5002015.07 | 75.84 | 78.24 | 1.7 | — | |
| LRSCNo. points=5002015.07 | 75.02 | 81.33 | 1.9 | — | |
| SCCNo. points=40002015.07 | 71.46 | 89.81 | 235.2 | — | |
| SCCNo. points=60002015.07 | 70.6 | 89.81 | 366.8 | — | |
| SCCNo. points=20002015.07 | 66.43 | 89.85 | 101.3 | — | |
| SCCNo. points=10002015.07 | 61.47 | 89.87 | 48.5 | — | |
| SCCNo. points=5002015.07 | 53.45 | 89.89 | 31.2 | — | |
| OMP2016.05 | 46.84 | — | 1,440 | 10 |