Data maximum dispersion classifier in projection space for high-dimension low-sample-size problems

作者：

Highlights：

• DMDC works well on HDLSS.

• DMDC is not sensitive to the intercept term.

• It is easy to implement through Quadratic Programming.

• It is robust to the model specification, making it useful for various real applications.

摘要

•DMDC works well on HDLSS.•DMDC is not sensitive to the intercept term.•It is easy to implement through Quadratic Programming.•It is robust to the model specification, making it useful for various real applications.

论文关键词：High-dimension low-sample-size,Binary linear classifier,Data piling,Hyperplane,Large margin classification

论文评审过程：Received 2 July 2019, Revised 23 September 2019, Accepted 19 December 2019, Available online 30 December 2019, Version of Record 7 March 2020.

论文官网地址：https://doi.org/10.1016/j.knosys.2019.105420