%0 Journal Article
%T New clustering method based on hybrid of SOM and PAM<br>一种基于SOM和PAM的聚类算法
%A ZHANG Zhao
%A WANG Suo-zhu
%A ZHANG Yu
%A <br>张钊
%A 王锁柱
%A 张雨
%J 计算机应用
%D 2007
%I 
%X A new hybrid clustering method was presented combining the Self Organization Map (SOM) and Partitioning Around Medoid (PAM) approach in this paper. Firstly the data set was clustered by means of SOM algorithm, and then the clustering result was used to initialize the class number in the PAM algorithm. The experimental result shows that the hybrid clustering method can improve the clustering performance.
%K clustering
%K Self Organization Map (SOM)
%K Partitioning Around Medoid (PAM)<br>聚类
%K 自组织映射算法
%K 围绕中心点的划分算法
%K 聚类算法
%K hybrid
%K based
%K method
%K 聚类质量
%K 效率
%K 实验
%K 结果
%K 再利用
%K 簇数
%K 数据集
%K 结合
%K 划分
%K 中心点
%K 映射
%K 自组织
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=831E194C147C78FAAFCC50BC7ADD1732&aid=14E16CBD2743051218FAB6DBCF6A23E5&yid=A732AF04DDA03BB3&vid=DB817633AA4F79B9&iid=B31275AF3241DB2D&sid=14475B1A66930D94&eid=A41D5AE06B0DB66D&journal_id=1001-9081&journal_name=计算机应用&referenced_num=4&reference_num=7