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Table 1 The comparison of the top recognition rates and the corresponding number of features selected

From: Sparsity preserving score for feature selection

Methods Training date
Yale ORL
5 6 5 6
Data variance 0.6889 (704) 0.6800 (829) 0.9450 (2503) 0.9563 (2112)
Laplacian score 0.7111 (434) 0.7067 (952) 0.9450 (2390) 0.9563 (1901)
MCFS 0.6556 (974) 0.6933 (825) 0.9250 (1593) 0.9500 (588)
SPEC 0.7111 (836) 0.7200 (780) 0.9150 (2563) 0.9500 (2350)
SPS 0.7333 (551) 0.7333 (569) 0.9450 (2355) 0.9563 (1823)