Efficient dimension reduction algorithm via L_(2,1) norm PCA

Application Research of Computers, pp. 45-47, 2013.

Cited by: 0|Views7


Traditional PCA is sensitive to outliers and feature noises,PCA based on L2,1-norm can improve the problems.Whereas present L2,1-PCA algorithms implement dimension reduction on the rank of the matrix and the rank is complex problem.In order to solve this problem,this paper proposed using trace norm instead of rank,then the calculation of ...More



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