Feature selection using a mutual information based measure

被引：0

作者：

Al-Ani, A ^{[1
]}

Deriche, M ^{[1
]}

机构：

[1] Queensland Univ Technol, Signal Proc Res Ctr, Brisbane, Qld 4001, Australia

来源：

16TH INTERNATIONAL CONFERENCE ON PATTERN RECOGNITON, VOL IV, PROCEEDINGS | 2002年

关键词：

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

In this paper, we discuss the problem of feature selection for the purpose of classification and propose a solution based on the concept of mutual information. In addition, we propose a new evaluation function to measure the ability of feature subsets in distinguishing between class labels. The proposed function is based on the information gain and takes into consideration how features work together Finally, we discuss the performance of this function compared to that of other measures which evaluate features individually.

引用

页码：82 / 85

页数：4

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