基于类别比例因子和类内均分度的χ2统计改进

›› 2010, Vol. 23 ›› Issue (12): 70-72.

基于类别比例因子和类内均分度的χ²统计改进

张瑜,张德贤

(河南工业大学信息科学与工程学院,河南郑州〓450001)

出版日期:2010-12-15 发布日期:2010-12-30
作者简介:张瑜(1982-),男,硕士研究生。研究方向:机器学习;张德贤(1961-),男,教授,博士生导师。研究方向:人工智能、机器学习。
基金资助:
河南省创新性科技团队建设基金资助项目(094200510009)

Improvement χ²of Statistics Based on the Category Scale Factor and Average Distribution Inner Category

ZHANG Yu, ZHANG De-Xian

(College of Information Science and Technology,Henan University of Technology,Zhengzhou 450001,China)

Online:2010-12-15 Published:2010-12-30

摘要/Abstract

摘要：

针对χ²统计特征选择方法的两大局限:对低文档频的特征选择不合理,以及过分强调那些在指定类低频出现,而在其他类中高频出现的特征项在该类中的权重。提出基于类别比例因子与类内均分度的χ²统计特征选择的改进方法。实验结果表明,改进方法的分类效果优于传统方法。

关键词: 特征选择, &chi, ²统计, 类别比例因子, 类内均分度

Abstract:

The χ² statistical method has two defects.One has reduced the weight of the low-frequency terms and the other has increased the weight of the characteristics in the designated class.This paper proposes an improved χ² statistical approach based on the category scale factor and average distribution inner category.A contrastive experiment is carried out and the results show that improved χ² statistics is superior to traditional statistical in feature selection.

Key words: feature selection;χ² statistics;category scale factor;average distribution inner category

中图分类号:

TP39

张瑜, 张德贤. 基于类别比例因子和类内均分度的χ²统计改进[J]. , 2010, 23(12): 70-72.

ZHANG Yu, ZHANG De-Xian. Improvement χ²of Statistics Based on the Category Scale Factor and Average Distribution Inner Category[J]. , 2010, 23(12): 70-72.

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基于类别比例因子和类内均分度的χ²统计改进

Improvement χ²of Statistics Based on the Category Scale Factor and Average Distribution Inner Category

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