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Table 5 Clustering results (ACC ± 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

0.7873 ± 0.0228(1024)

0.7526 ± 0.0439(1024)

0.5527 ± 0.0271(1024)

LS

0.8343 ± 0.0630(100)

0.7850 ± 0.0310(280)

0.5984 ± 0.0246(420)

SPEC

0.8521 ± 0.0708(470)

0.8030 ± 0.0756(170)

0.6128 ± 0.0476(340)

MCFS

0.8709 ± 0.0871(240)

0.8210 ± 0.0555(240)

0.6214 ± 0.0512(250)

RUFS

0.8864 ± 0.0781(470)

0.8300 ± 0.0542(140)

0.6408 ± 0.0484(360)

MFFS

0.8958 ± 0.0298(500)

0.8390 ± 0.0523(40)

0.6460 ± 0.0286(300)

RSR

0.8728 ± 0.0518(500)

0.8310 ± 0.0378(270)

0.6486 ± 0.0272(470)

JGSC

0.9004 ± 0.0557(280)

0.8460 ± 0.0332(240)

0.6537 ± 0.0402(200)

SPNFSR

0.9093 ± 0.0253(500)

0.8690 ± 0.0428(220)

0.6679 ± 0.0147(470)

UDSFS

0.9113 ± 0.0551(390)

0.8716 ± 0.0560(390)

0.6711 ± 0.0334(370)

NSSRD

0.9138 ± 0.0543(250)

0.8730 ± 0.0459(200)

0.6793 ± 0.0280(480)

DRMFFS

0.9226 ± 0.0254(130)

0.8833 ± 0.0320(430)

0.6853 ± 0.0162(380)