Unsupervised feature selection with adaptive multiple graph learning

作者：

Highlights：

• A framework of jointly multiple graph learning and feature selection is proposed.

• An effective algorithm is proposed for optimizing the objective function.

• The experimental results show that our algorithm outperforms the state-of-the-art methods.

摘要

•A framework of jointly multiple graph learning and feature selection is proposed.•An effective algorithm is proposed for optimizing the objective function.•The experimental results show that our algorithm outperforms the state-of-the-art methods.

论文关键词：Feature selection,Multiple graph learning,Consensus learning

论文评审过程：Received 21 May 2019, Revised 31 March 2020, Accepted 12 April 2020, Available online 28 April 2020, Version of Record 3 May 2020.

论文官网地址：https://doi.org/10.1016/j.patcog.2020.107375