%0 Journal Article
%T A Method of Reducing Features Based on Orthogonal Transforming in Text Classification<br>文本分类中一种基于正交变换的特征降维方法
%A LIU Hai-feng WANG Yuan-yuan ZHANG Xue-ren
%A LIU Shou-sheng Institute of Sciences
%A <br>刘海峰
%A 王元元
%A 张学仁
%A 刘守生
%J 计算机科学
%D 2008
%I 
%X Discuss a method of reducing the text features based on orthogonal transforming.Then,we analyze the characteristic about feature selection and feature extraction.In virtue of decomposing the matrix,we demonstrate the principle and the theory foundation about the reduce of dimensions based on Fisher.We discuss the relation of PCA and SVD.The test shows that this method has a better precision in the text categorization.
%K Text classification
%K Feature extraction
%K Feature selection
%K Orthogonai transforming
%K SVD<br>文本分类
%K 特征抽取
%K 特征降维
%K 正交变换
%K 奇异值分解
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=64A12D73428C8B8DBFB978D04DFEB3C1&aid=2F758B76CF2DDF9FC3A4DA7B1A15E19F&yid=67289AFF6305E306&vid=6209D9E8050195F5&iid=94C357A881DFC066&sid=F122871CC7EC92DC&eid=6FBD78E3BAB60869&journal_id=1002-137X&journal_name=计算机科学&referenced_num=0&reference_num=18