Discriminative globality and locality preserving graph embedding for dimensionality reduction

作者：

Highlights：

• Propose the DGLPGE method.

• Design new local and global graph constructions.

• Characterize locality and globality preserving scatters.

• It can capture the geometry of data and enhance pattern discrimination.

摘要

•Propose the DGLPGE method.•Design new local and global graph constructions.•Characterize locality and globality preserving scatters.•It can capture the geometry of data and enhance pattern discrimination.

论文关键词：Dimensionality reduction,Graph embedding,Graph construction,Pattern classification

论文评审过程：Received 28 January 2019, Revised 7 November 2019, Accepted 7 November 2019, Available online 9 November 2019, Version of Record 12 November 2019.

论文官网地址：https://doi.org/10.1016/j.eswa.2019.113079