%0 Journal Article
%T Dissimilar attribute reductions based on hierarchical clustering method<br>基于层次聚类的差异化属性约简算法
%A TANG Zhou-wen
%A YE Dong-yi
%A <br>汤周文
%A 叶东毅
%J 计算机应用
%D 2009
%I 
%X Attribute reduction is an important concept in rough set data analysis.An algorithm for dissimilar reductions finding was presented.Method of bottom-up agglomerative hierarchical clustering was used to get k partitions of conditional attributes set,and then these k attribute sets were dealt with by post-processing and get k dissimilar attribute reductions.Result of experiments show that our method is effective.
%K attribute reduction
%K dissimilar
%K hierarchical clustering<br>属性约简
%K 差异
%K 层次聚类
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=831E194C147C78FAAFCC50BC7ADD1732&aid=1261502F5CD807AA827C0F4BA76519E8&yid=DE12191FBD62783C&vid=771469D9D58C34FF&iid=0B39A22176CE99FB&sid=A4E67967A1AB25F0&eid=5335AD3CFE6E14EA&journal_id=1001-9081&journal_name=计算机应用&referenced_num=0&reference_num=8