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

LIU Li-min (刘丽敏)

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FAN Xiao-ping (樊晓平)

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LIAO Zhi-fang (廖志芳)

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LIU Man-ling (刘曼玲)

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

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Keywords:

principal component analysis(PCA)1 normL2dimension reductionaugmented Lagrange multiplierMore(1+)

Abstract:

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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ZH一种基于L_(2,1)范数的PCA维数约简算法

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