%0 Journal Article
%T Survey of particle swarm clustering algorithms<br>粒子群聚类算法综述
%A LI Jun-jin
%A XIANG Yang
%A LU Ying-ming
%A WU Shuo-tong
%A <br>李峻金
%A 向阳
%A 芦英明
%A 吴朔桐
%J 计算机应用研究
%D 2009
%I 
%X Clustering analysis is one of the important data mining techniques that can discover hidden modes by unsupervised learning and has the ability of acquiring knowledge independently. This paper presented an all-around introduction of PSO-based clustering methods in existing literatures, described the basic principles and the characteristics of the existing popular particle swarm clustering algorithms, and made the comparison about their merits and demerits. Then summarized the applications of particle swarm clustering algorithms. Finally, pointed out the future research directions of particle swarm clustering algorithms.
%K clustering analysis
%K swarm intelligence
%K particle swarm optimization(PSO)<br>聚类分析
%K 群智能
%K 粒子群优化算法
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=A9D9BE08CDC44144BE8B5685705D3AED&aid=0518FBE0267CCEB48706853D69982BE8&yid=DE12191FBD62783C&vid=96C778EE049EE47D&iid=59906B3B2830C2C5&sid=DF335C9A6D13E1A0&eid=C7681985D0D19879&journal_id=1001-3695&journal_name=计算机应用研究&referenced_num=4&reference_num=34