%0 Journal Article
%T Survey of clustering algorithms for high-dimensional data<br>高维数据聚类方法综述
%A HE Ling
%A CAI Yi-chao
%A YANG Zheng
%A <br>贺玲
%A 蔡益朝
%A 杨征
%J 计算机应用研究
%D 2010
%I 
%X This paper provided a survey of current clustering algorithms for high-dimensional data at first, then made a comparison among them and identifized the new direction in the future, which was the combination of subspace clustering and other typical clustering methods.
%K high-dimensional data
%K clustering
%K subspace<br>高维数据
%K 聚类
%K 子空间
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=A9D9BE08CDC44144BE8B5685705D3AED&aid=44B2C33D4D8E0E93A606B32BD85F9661&yid=140ECF96957D60B2&vid=DB817633AA4F79B9&iid=CA4FD0336C81A37A&sid=EA389574707BDED3&eid=96C778EE049EE47D&journal_id=1001-3695&journal_name=计算机应用研究&referenced_num=3&reference_num=29