Regularized max-min linear discriminant analysis

作者：

Highlights：

• We propose max-min linear discriminant analysis.

• We present regularized max-min linear discriminant analysis using Shannon entropy.

• The improved form can obtain better classification results for high-dimensional data.

摘要

Highlights•We propose max-min linear discriminant analysis.•We present regularized max-min linear discriminant analysis using Shannon entropy.•The improved form can obtain better classification results for high-dimensional data.

论文关键词：Dimensionality reduction,Linear discriminant analysis,Max-min distance analysis,Shannon entropy

论文评审过程：Received 10 October 2015, Revised 30 December 2016, Accepted 31 December 2016, Available online 3 January 2017, Version of Record 12 March 2017.

论文官网地址：https://doi.org/10.1016/j.patcog.2016.12.030