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 |
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Pages (from-to) | 165-190 |
Number of pages | 26 |
Journal | Journal of Classification |
Volume | 12 |
Issue number | 2 |
DOIs | |
Publication status | Published - Sep 1995 |
Externally published | Yes |