Research Article
A Folded Concave Penalty Regularized Subspace Clustering Method to Integrate Affinity and Clustering
| Methods | SSC | LRR | LRSC | KSSC | SSC-OMP | EDSC | S3C | SSRSC | TLRR | KTRR | Our method |
| CA (%) | | | | | | | | | | | | | | | 76.9 | 70.8 | 70.6 | 70.9 | 61.6 | 76.6 | 75.4 | 73.2 | 71.8 | 76.9 | | 77.3 | | 77.6 | 66.0 | 65.4 | 71.4 | 62.5 | 78.0 | 77.8 | 74.6 | 71.7 | 78.5 | | 79.4 | | 80.4 | 70.2 | 70.4 | 74.9 | 64.5 | 80.1 | 79.5 | 76.3 | 72.1 | 80.4 | | 81.6 |
| NMI | | | | | | | | | | | | | | | 0.5223 | 0.4778 | 0.4743 | 0.4832 | 0.4244 | 0.5203 | 0.5137 | 0.4893 | 0.4622 | 0.5365 | | 0.5483 | | 0.5332 | 0.4223 | 0.4532 | 0.5087 | 0.4238 | 0.5591 | 0.5329 | 0.5128 | 0.4723 | 0.5732 | | 0.5832 | | 0.5538 | 0.4765 | 04808 | 0.5248 | 0.4391 | 0.5624 | 0.5593 | 0.5328 | 0.4933 | 0.6030 | | 0.6037 |
| Purity | | | | | | | | | | | | | | | 0.4639 | 0.4334 | 0.4103 | 0.4283 | 0.4083 | 0.4729 | 0.4855 | 0.4734 | 0.4492 | 0.4932 | | 0.5039 | | 0.4896 | 0.4034 | 0.4093 | 0.4768 | 0.4186 | 0.4833 | 0.4916 | 0.4845 | 0.4692 | 0.5243 | | 0.5302 | | 0.5007 | 0.4340 | 0.4237 | 0.4876 | 0.4297 | 0.5029 | 0.5184 | 0.5045 | 0.4704 | 0.5508 | | 0.5638 |
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