THE KOHONEN SELF-ORGANIZING MAP METHOD - AN ASSESSMENT

被引：62

作者：

MURTAGH, F ^{[1
]}

HERNANDEZPAJARES, M ^{[1
]}

机构：

[1] UNIV POLITECN CATALUNYA,DEPT MATEMAT APLICADA & TELEMAT,E-08080 BARCELONA,SPAIN

来源：

JOURNAL OF CLASSIFICATION | 1995年 / 12卷 / 02期

关键词：

PARTITIONING; OPTIMIZATION; DIMENSIONALITY REDUCTION; DATA DISPLAY; EXPLORATORY DATA ANALYSIS;

D O I：

10.1007/BF03040854

中图分类号：

O1 [数学];

学科分类号：

0701 ; 070101 ;

摘要：

The ''self-organizing map'' method, due to Kohonen, is a well-known neural network method. It is closely related to cluster analysis (partitioning) and other methods of data analysis. In this article, we explore some of these close relationships. A number of properties of the technique are discussed. Comparisons with various methods of data analysis (principal components analysis, k-means clustering, and others) are presented.

引用

页码：165 / 190

页数：26

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