%0 Journal Article
%T Semi-supervised Feature Selection Algorithm Based on Extension of Label<br>基于类标号扩展的半监督特征选择算法
%A WANG Bo
%A JIA Yan
%A TIAN Li
%A <br>王博
%A 贾焰
%A 田李
%J 计算机科学
%D 2009
%I 
%X Feature selection is an important step during data mining and machine learning.With the lack of labeled instances,the problem of effective selection is worthy of consideration.This paper proposed a novel semi-supervised feature selection algorithm based on the definition of inter-set and intra-set correlation,which starts from the original and small labeled samples and gains the final clusters by extension of labels.A complex evaluation was utilized as criterion to find optimal feature subset.Finally,the ex...
%K Feature selection
%K Semi-supervised
%K Inter-set correlation
%K Intra-set correlation<br>特征选择
%K 半监督
%K 集合相关度
%K 集合自相关度
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=64A12D73428C8B8DBFB978D04DFEB3C1&aid=FB24FBC4F038B624C7CD38EC33CDEEAE&yid=DE12191FBD62783C&vid=933658645952ED9F&iid=F3090AE9B60B7ED1&sid=3A0155B37D8FF829&eid=AC1578C6BB9EBDEF&journal_id=1002-137X&journal_name=计算机科学&referenced_num=0&reference_num=12