Weighted Multi-view Clustering with Feature Selection

作者：

Highlights：

• This paper proposes a new multi-view data clustering algorithm.

• The new method considers both view weighting and feature weighting.

• An EM-like method is designed to get the local optimum solution.

• Extensive experiments have been conducted to show the effectiveness.

摘要

Highlights•This paper proposes a new multi-view data clustering algorithm.•The new method considers both view weighting and feature weighting.•An EM-like method is designed to get the local optimum solution.•Extensive experiments have been conducted to show the effectiveness.

论文关键词：Data clustering,Multi-view,Feature selection,Weighting

论文评审过程：Received 12 November 2014, Revised 24 September 2015, Accepted 16 December 2015, Available online 23 December 2015, Version of Record 8 February 2016.

论文官网地址：https://doi.org/10.1016/j.patcog.2015.12.007