双重结构的最小二乘回归子空间聚类算法
|
|
卢桂馥, 汤荣, 姚亮
|
Double structure least squares regression subspace clustering
|
|
Guifu Lu, Rong Tang, Liang Yao
|
|
表1 不同数据集上的算法性能比较
|
Table 1 Performance of different algorithms on different datasets
|
|
| 数据集 | 方法 | ACC | NMI | F⁃score |
|---|
| ORL_32×32 | K⁃means | 0.4442 | 0.6472 | 0.3294 | | SSC | 0.6784 | 0.8173 | 0.5433 | | LSR | 0.6631 | 0.8144 | 0.5348 | | LRR | 0.6047 | 0.7793 | 0.4781 | | CAN | 0.6250 | 0.7926 | 0.4881 | | SSR | 0.7026 | 0.8372 | 0.5819 | | DSLSR | 0.7133 | 0.8409 | 0.6012 | | Yale_32×32 | K⁃means | 0.4497 | 0.5323 | 0.3160 | | SSC | 0.5319 | 0.5639 | 0.3706 | | LSR | 0.5203 | 0.5454 | 0.3434 | | LRR | 0.5127 | 0.5280 | 0.3204 | | CAN | 0.4764 | 0.5177 | 0.3034 | | SSR | 0.4917 | 0.5330 | 0.3261 | | DSLSR | 0.5818 | 0.5971 | 0.4179 | | Ceu | K⁃means | 0.2702 | 0.5666 | 0.1693 | | SSC | 0.9440 | 0.9869 | 0.9453 | | LSR | 0.9611 | 0.9926 | 0.9627 | | LRR | 0.9838 | 0.9968 | 0.9842 | | CAN | 0.6501 | 0.8787 | 0.6086 | | SSR | 0.9468 | 0.9901 | 0.9523 | | DSLSR | 0.9785 | 0.9957 | 0.9782 |
|
|
|