%0 Journal Article
%T Customer segmentation application of PSO parallel cluster<br>微粒群并行聚类在客户细分中的应用
%A WANG Hua-qiu
%A LIAO Xiao-feng
%A <br>王华秋
%A 廖晓峰
%J 计算机应用研究
%D 2008
%I 
%X The paper presented the parallel cluster algorithm of adaptive particle swarm optimization, which adopted task parallelization and partial asynchronous communication to decrease the computing time. The proposed algorithm combined the fast search optimum ability of parallel particle swarm optimization with parameters dynamical optimization property of adaptive. It could maintain the individual diversity and restrain the degenerate phenomenon. Finally, the presented algorithm was used to analyze the telecom customer segmentation. The experiments indicate the presented algorithm on the cluster maintains pre-ferable accuracy, the speed-up and scaled-up.
%K parallel cluster
%K adaptive
%K particle swarm optimization
%K telecom customer segmentation<br>并行聚类
%K 自适应
%K 微粒群优化
%K 电信客户细分
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=A9D9BE08CDC44144BE8B5685705D3AED&aid=C38B1D1BA009AAAA4EA1D5D91DC5BD50&yid=67289AFF6305E306&vid=C5154311167311FE&iid=F3090AE9B60B7ED1&sid=C1DEEC9CD99A7203&eid=29AE32B30980BD5E&journal_id=1001-3695&journal_name=计算机应用研究&referenced_num=1&reference_num=15