%0 Journal Article
%T Improved Fuzzy C Means Clustering Algorithm Based on Selecting Initial Clustering Centers<br>基于初始聚类中心选取的改进FCM聚类算法
%A ZHANG Hui-zhe WANG Jian
%A <br>张慧哲
%A 王坚
%J 计算机科学
%D 2009
%I 
%X This paper proposed an improved FCM algorithm aiming at many problems in Fuzzy C Means algorithm,such as being sensitive to initial conditions,usually leading to local minimum results.The new algorithm can obtain global optimal solutions through a new simple and efficient select rule of the initial cluster centers,furthermore alternating optimization in terms of a novel separable criterion.By comparative testing with custom FCM,the new algorithms not only have fewer numbers of iterations and have higher acc...
%K Clustering
%K Fuzzy C mean clustering
%K Objective function
%K Initial cluster centers
%K Separative degree<br>聚类
%K FCM聚类
%K 目标函数
%K 初始聚类中心
%K 分离度
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=64A12D73428C8B8DBFB978D04DFEB3C1&aid=416B90D915C8DBB6F7DE2A9DF4AEB48F&yid=DE12191FBD62783C&vid=933658645952ED9F&iid=B31275AF3241DB2D&sid=9F6DA927E843CD50&eid=79D2EF35F60110C2&journal_id=1002-137X&journal_name=计算机科学&referenced_num=6&reference_num=13