计算机工程2012，Vol.38Issue(14)：135-137,3.DOI:10.3969/j.issn.1000-3428.2012.14.040
基于条件互信息的特征选择改进算法
Improved Feature Selection Algorithm Based on Conditional Mutual Information
摘要
Abstract
Aiming at the shortcomings of traditional feature selection which are neglect of relevancy to the class and redundancy to the feature, this paper introduces a feature selection algorithm based on conditional mutual information. The algorithm clusters interdependent features into clusters and selects one feature which has maximum mutual information with class, the irrelevant and redundant features are removed. Experimental results show that the method is prior to traditional feature selection from the point of view of classification accuracy.关键词
数据挖掘/特征选择/互信息/条件互信息/聚类/度量距离Key words
data mining/ feature selection/ mutual information/ conditional mutual information/ clustering/ metric distance分类
信息技术与安全科学引用本文复制引用
刘海燕,王超,牛军钰..基于条件互信息的特征选择改进算法[J].计算机工程,2012,38(14):135-137,3.基金项目
国家“863”计划基金资助项目(2009AA01Z429) （2009AA01Z429）
