%0 Journal Article
%T Quick mountain clustering algorithm<br>一种快速山峰聚类算法
%A CHEN Xiao-yun
%A MIN Yu-fang
%A ZHENG Liang-ren
%A YANG Li
%A <br>陈晓云
%A 敏玉芳
%A 郑良仁
%A 杨丽
%J 计算机应用研究
%D 2008
%I 
%X A new clustering technique is described, which is an improvement on the mountain method (MM) of clustering originally.For higher dimensional data sets, the MM approach becomes computationally unattractive or even infeasible.Subtractive clustering method is an improvement on the mountain method. But for large data sets the SCM can still be computatio-nally intensive. This paper used P-tree data structure to decomposing the higher dimensional and large data sets, then clustered the small data sets using SCM.The method not only avoids the question of higher dimensional, but also solves the shor-tage of large data sets of SCM.
%K clustering analysis
%K mountain clustering method
%K subtractive clustering method(SCM)
%K P-tree
%K unsupervised learning<br>聚类分析
%K 山峰聚类法
%K 减法聚类
%K P-tree
%K 无监督学习
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=A9D9BE08CDC44144BE8B5685705D3AED&aid=768CE86BBDEF9DCCAC5119A634606B18&yid=67289AFF6305E306&vid=C5154311167311FE&iid=DF92D298D3FF1E6E&sid=CD65D483B6C24C75&eid=28A5659E3BD66D6A&journal_id=1001-3695&journal_name=计算机应用研究&referenced_num=0&reference_num=11