Research Article
A Folded Concave Penalty Regularized Subspace Clustering Method to Integrate Affinity and Clustering
Table 5
Performance on Alphadigits.
| Methods | SSC | LRR | LRSC | KSSC | SSC-OMP | EDSC | S3C | SSRSC | TLRR | KTRR | Our method |
| CA (%) | | | | | | | | | | | | | | | 80.7 | 79.5 | 77.3 | 80.5 | 81.2 | 81.3 | 60.8 | 82.6 | 70.4 | 84.1 | | 84.7 | | | | | | | | | | | | | | | 79.5 | 77.4 | 75.1 | 78.4 | 79.5 | 79.2 | 58.4 | 79.5 | 69.8 | 81.8 | | 82.6 |
| NMI | | | | | | | | | | | | | | | 0.6519 | 0.6567 | 0.5842 | 0.6432 | 0.6578 | 0.6684 | 0.2810 | 0.6467 | 0.4980 | 0.6959 | | 0.7121 | | | | | | | | | | | | | | | 0.5525 | 0.6521 | 0.5546 | 0.6194 | 0.6323 | 0.6328 | 0.2497 | 0.5864 | 0.4981 | 0.6650 | | 0.6790 |
| Purity | | | | | | | | | | | | | | | 0.6715 | 0.6974 | 0.7054 | 0.6682 | 0.6738 | 0.7036 | 0.3841 | 0.6638 | 0.5619 | 0.7277 | | 0.7329 | | | | | | | | | | | | | | | 0.5056 | 0.6158 | 0.6476 | 0.6396 | 0.6543 | 0.6782 | 0.2504 | 0.5258 | 0.4551 | 0.6305 | | 0.6406 |
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