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自组织映射(SOM)聚类算法的研究
引用本文:余健,郭平.自组织映射(SOM)聚类算法的研究[J].现代计算机,2007(3):7-8,33.
作者姓名:余健  郭平
作者单位:[1]韩山师范学院数信学院,潮州521041 [2]北京师范大学信息科学学院,北京100875
摘    要:通过自组织映射神经网络实现的聚类算法能将任意维数的输入信号模式转变为一维或二维的离散映射,以拓扑有序的方式自适应实现这个变换.介绍自组织映射聚类算法的原理,通过实验进行仿真,结果表明自组织映射聚类算法是可行有效的.

关 键 词:自组织映射  聚类
修稿时间:2007-02-02

Research of Clustering Algorithm of Self-Organizing Maps Neural Networks
YU Jian,GUO Ping.Research of Clustering Algorithm of Self-Organizing Maps Neural Networks[J].Modem Computer,2007(3):7-8,33.
Authors:YU Jian  GUO Ping
Affiliation:1. Mathematics and Information Technology Academy, Hanshan Normal College, Guangdong, Chaozhou 521041 China; 2. College of Information Science and Technology,Beijing Normal University,Beijing 100785 China
Abstract:Clustering Algorithm of Self-Organizing Mapping Neural Networks can make input signal pattern of any dimensions into disperse mapping of one or two dimensions, and make this transform self-organizing topologically ordinal. This paper introduces the principle of Clustering Algorithm of Self-Organizing Mapping, and uses experiment to emulate. The result prove that Clustering Algorithm of Self-Organizing Mapping is efficient.
Keywords:SOM
本文献已被 CNKI 维普 万方数据 等数据库收录!
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