The Kohonen Self-Organizing Map Method: An Assessment

F. Murtagh; M. Hernández-Pajares

doi:10.1007/BF03040854

The Kohonen Self-Organizing Map Method: An Assessment

F. Murtagh, M. Hernández-Pajares

Research output: Contribution to journal › Article › peer-review

81 Citations (Scopus)

Abstract

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.

Original language	English
Pages (from-to)	165-190
Number of pages	26
Journal	Journal of Classification
Volume	12
Issue number	2
DOIs	https://doi.org/10.1007/BF03040854
Publication status	Published - Sept 1995
Externally published	Yes

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title = "The Kohonen Self-Organizing Map Method: An Assessment",

abstract = "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.",

keywords = "Data display, Dimensionality reduction, Exploratory data analysis, Optimization, Partitioning",

author = "F. Murtagh and M. Hern{\'a}ndez-Pajares",

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AU - Murtagh, F.

AU - Hernández-Pajares, M.

PY - 1995/9

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N2 - 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.

AB - 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.

KW - Data display

KW - Dimensionality reduction

KW - Exploratory data analysis

KW - Optimization

KW - Partitioning

UR - https://www.scopus.com/pages/publications/21844508468

U2 - 10.1007/BF03040854

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JF - Journal of Classification

IS - 2

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The Kohonen Self-Organizing Map Method: An Assessment

Abstract

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