%0 Journal Article
%T Improved Fuzzy Partitions for K-Plane Clustering Algorithm and Its Robustness Research<br>K平面聚类算法的模糊改进及其鲁棒性研究
%A Zhu Lin
%A Wang Shi-tong
%A Pan Yong-hui
%A Han Bin
%A <br>朱林
%A 王士同
%A 潘永惠
%A 韩斌
%J 电子与信息学报
%D 2008
%I 
%X A new robust Improved Fuzzy Partitions for K-Plane Clustering (IFP-KPC) algorithm is proposed. The proposed algorithm can reduce the sensitivity of the k-plane clustering algorithm to noises in real datasets. Also the distances to the Voronoi cell are used to give a reasonable explanation for the robustness of IFP-KPC. Experimental results demonstrate the effectiveness of IFP-KPC.
%K K-plane clustering
%K Improved fuzzy partitions
%K Voronoi distance
%K Robustness<br>K平面聚类
%K 改进模糊分割
%K Voronoi距离
%K 鲁棒性
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=1319827C0C74AAE8D654BEA21B7F54D3&jid=EFC0377B03BD8D0EF4BBB548AC5F739A&aid=6E8EEE7DB6B08823A6A406859CD4B002&yid=67289AFF6305E306&vid=340AC2BF8E7AB4FD&iid=5D311CA918CA9A03&sid=FA5E3BF0E78D4C0B&eid=5353AF589CC3F8A0&journal_id=1009-5896&journal_name=电子与信息学报&referenced_num=0&reference_num=14