L1-norm-based principal component analysis with adaptive regularization

作者：

Highlights：

• We propose a L1-norm-based principal component analysis with adaptive regularization.

• We use trace Lasso to regularize the projection vectors.

• Our mode can simultaneously consider the sparsity and correlation.

摘要

•We propose a L1-norm-based principal component analysis with adaptive regularization.•We use trace Lasso to regularize the projection vectors.•Our mode can simultaneously consider the sparsity and correlation.

论文关键词：Principal component analysis,Dimensionality reduction,L1-norm,Trace lasso,L2-norm

论文评审过程：Received 19 November 2014, Revised 7 July 2016, Accepted 7 July 2016, Available online 8 July 2016, Version of Record 26 July 2016.

论文官网地址：https://doi.org/10.1016/j.patcog.2016.07.014