WJMI: A New Feature Selection Algorithm Based on Weighted Joint Mutual Information
- https://doi.org/10.2991/icmii-15.2015.108How to use a DOI?
- feature selection, feature interaction, pruning rule, WJMI
Mutual information based feature selection algorithms are very popular currently. Though they perform well in many cases, they suffer from two drawbacks: (1) the neglect of feature interaction; (2) the overestimation of some features. To overcome these shortcomings, a new feature evaluation criterion considering feature interaction is proposed and a pruning rule is designed. Based on the criterion and pruning rule, a new feature selection algorithm WJMI is proposed. Experiments carried out on UCI real world dataset against other four algorithms demonstrate the effectiveness of WJMI.
- © 2015, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - CONF AU - Xiuli Qi AU - Chengxiang Yin AU - Kai Cheng AU - Xianglin Liao AU - Xingdang Kang PY - 2015/10 DA - 2015/10 TI - WJMI: A New Feature Selection Algorithm Based on Weighted Joint Mutual Information BT - Proceedings of the 3rd International Conference on Mechatronics and Industrial Informatics PB - Atlantis Press SP - 632 EP - 638 SN - 2352-538X UR - https://doi.org/10.2991/icmii-15.2015.108 DO - https://doi.org/10.2991/icmii-15.2015.108 ID - Qi2015/10 ER -