摘要
本文讨论了基于自组织特征映射网络聚类算法的基本原理,并指出了算法的缺陷。在此基础上,提出了改进的算法,给出了算法的流程,并做了分析。
In this paper, the basic principle of the clustering algorithm based on self - organizing feature map network is discussed, and pointed out its defects. On the base of it, it then presents improved algorithm, offered the flow of it, and analyzed.
出处
《信息技术与信息化》
2006年第6期85-88,共4页
Information Technology and Informatization
关键词
数据挖掘
聚类分析
自组织特征映射神经网络
K-中心点
Data Mining Clustering analysis Self - organizing feature map neural networks k - Mediod
