%0 Journal Article
%T Algorithm in clustering location data for uncertain data mining<br>一种不精确数据的聚类挖掘方法*
%A LI Qing-feng
%A ZHOU Xian-cheng
%A WANG Li
%A ZHOU Wei-lin
%A <br>李清峰
%A 周鲜成
%A 王莉
%A 周伟林
%J 计算机应用研究
%D 2009
%I 
%X To consider data uncertainty in the clustering process, this paper proposed a FK-means clustering algorithm that enhanced the K-means algorithm to the goal of minimizing the expected sum of squared errors E(SSE). Specially noted that a data object xi was specified by an uncertainty region with an uncertainty pdf f(xi). This paper applied FK-means to the particular pattern of moving-object uncertainty. Experimental results show that by considering uncertainty, the clustering algorithm can produce more accurate results.
%K data uncertainty
%K K-means algorithm
%K FK-means clustering algorithm
%K pdf<br>非精确数据
%K K-平均算法
%K FK-聚类算法
%K 密度概率函数
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=A9D9BE08CDC44144BE8B5685705D3AED&aid=BFBE2591D97B1765D750A34686112A8F&yid=DE12191FBD62783C&vid=96C778EE049EE47D&iid=38B194292C032A66&sid=3E851F4852A9516C&eid=BF6EDE6C10074464&journal_id=1001-3695&journal_name=计算机应用研究&referenced_num=0&reference_num=9