A Survey on semi-supervised feature selection methods
作者：
Highlights：
• A comprehensive survey on semi-supervised feature selection methods is presented.
• Two categories of these methods are presented from two different perspectives.
• The hierarchical structure of semi-supervised feature selection methods is given.
• Advantage and disadvantage of the survey methods are presented.
• Future research directions are presented.
摘要
•A comprehensive survey on semi-supervised feature selection methods is presented.•Two categories of these methods are presented from two different perspectives.•The hierarchical structure of semi-supervised feature selection methods is given.•Advantage and disadvantage of the survey methods are presented.•Future research directions are presented.
论文关键词：Semi-supervised learning,Feature selection,Survey
论文评审过程：Received 16 February 2016, Revised 3 November 2016, Accepted 5 November 2016, Available online 10 November 2016, Version of Record 19 November 2016.
论文官网地址：https://doi.org/10.1016/j.patcog.2016.11.003
