Similarity of feature selection methods: An empirical study across data intensive classification tasks

作者：

Highlights：

• We empirically investigated the similarity among feature selection methods.

• Extensive experiments were carried out across high dimensional classification tasks.

• We obtained useful insight into the pattern of agreement of eight popular methods.

摘要

•We empirically investigated the similarity among feature selection methods.•Extensive experiments were carried out across high dimensional classification tasks.•We obtained useful insight into the pattern of agreement of eight popular methods.

论文关键词：Data mining,Knowledge discovery,Feature selection,Similarity measures

论文评审过程：Available online 7 February 2015.

论文官网地址：https://doi.org/10.1016/j.eswa.2015.01.069