摘要
研究了文本挖掘中的高维特征选取问题．对常见的降维主要方法：特征选择和特征抽取等算法进行了理论分析与性能比较．评价了它们的优缺点和适用范围。
Feature： Selection is the key technology in the text mining field. Feature reduction method involves feature selection and feature extraction. This paper studies the feature selection and feature extraction algorithms, discusses some familiar algorithms. Their advantage and disadvantage are evaluated.
作者
孙铁利
张妍
李晓微
SUN Tie-li, ZHANG Yan, LI Xiao-wei （College of Compute Science, Northeast Normal University, Changchun 130117,China）
出处
《电脑知识与技术》
2008年第1期201-204,225,共5页
Computer Knowledge and Technology
关键词
文本挖掘
降维算法
特征选择
特征抽取
text mining
dimensionality reduction
feature selection
feature extraction.
