Table 6 Clustering results (NMI ± std) of different approaches on three different databases. The best results are highlighted in italics
From: Double regularized matrix factorization for image classification and clustering
Methods | JAFFE | ORL | COIL20 |
|---|---|---|---|
BaseLine | 0.8213 ± 0.0143(1024) | 0.7964 ± 0.0310(1024) | 0.7035 ± 0.0131(1024) |
LS | 0.8756 ± 0.0301(110) | 0.8138 ± 0.0455(140) | 0.7068 ± 0.0122(420) |
SPEC | 0.8828 ± 0.0614(390) | 0.8318 ± 0.0228(450) | 0.7245 ± 0.0128(370) |
MCFS | 0.8887 ± 0.0500(160) | 0.8383 ± 0.0390(230) | 0.7289 ± 0.0247(370) |
RUFS | 0.8914 ± 0.0448(500) | 0.8588 ± 0.0316(140) | 0.7486 ± 0.0096(290) |
MFFS | 0.8960 ± 0.0264(500) | 0.8701 ± 0.0236(50) | 0.7486 ± 0.0136(260) |
RSR | 0.8952 ± 0.0276(500) | 0.8600 ± 0.0298(230) | 0.7463 ± 0.0163(470) |
JGSC | 0.9033 ± 0.0365(230) | 0.8716 ± 0.0281(190) | 0.7532 ± 0.0152(410) |
SPNFSR | 0.9154 ± 0.0125(480) | 0.9022 ± 0.0304(350) | 0.7652 ± 0.0094(440) |
UDSFS | 0.9157 ± 0.0352(470) | 0.9078 ± 0.0346(310) | 0.7678 ± 0.0165(370) |
NSSRD | 0.9179 ± 0.0292(240) | 0.9125 ± 0.0287(260) | 0.7696 ± 0.0130(500) |
DRMFFS | 0.9247 ± 0.0237(200) | 0.9191 ± 0.0227(200) | 0.7778 ± 0.0118(420) |