首页|期刊导航|哈尔滨工业大学学报（英文版）|A bidirectional feature selection method based on mutual information and redundancy-synergy coefficient
哈尔滨工业大学学报（英文版）2006，Vol.13Issue(3)：299-306,8.
A bidirectional feature selection method based on mutual information and redundancy-synergy coefficient
A bidirectional feature selection method based on mutual information and redundancy-synergy coefficient
摘要
Abstract
Feature subset selection is a fundamental problem of data mining. The mutual information of feature subset is a measure for feature subset containing class feature information. A hashing mechanism is proposed to calculate the mutual information of feature subset. The feature relevancy is defined by mutual information. Redundancy-synergy coefficient, a novel redundancy and synergy measure for features to describe the class feature, is defined. In terms of information maximization rule, a bidirectional heuristic feature subset selection method based on mutual information and redundancy-synergy coefficient is presented. This study' s experiments show the good performance of the new method.关键词
mutual information/feature selection/pattern classification/data miningKey words
mutual information/feature selection/pattern classification/data mining分类
信息技术与安全科学引用本文复制引用
YANG Sheng,ZHANG Zhi,SHI Peng-fei..A bidirectional feature selection method based on mutual information and redundancy-synergy coefficient[J].哈尔滨工业大学学报（英文版）,2006,13(3):299-306,8.基金项目
Sponsored by the National Nature Science Foundation of China( Grant No. 60075007). （ Grant No. 60075007）
