Applied Informatics

Table 2 The comparison of average top recognition rates

From: Sparsity preserving score for feature selection

Methods	5	6	7	8
(a) ORL
Data variance	0.970	0.978	0.989	0.980
Laplacian score	0.960	0.976	0.981	0.984
MCFS	0.950	0.958	0.960	0.955
SPEC	0.940	0.947	0.958	0.950
SPS	0.985	0.989	0.993	0.991
Data variance	0.636	0.706	0.790	0.717
Laplacian score	0.646	0.712	0.789	0.683
MCFS	0.602	0.684	0.783	0.745
SPEC	0.621	0.685	0.762	0.735
SPS	0.669	0.728	0.808	0.756

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