Self- and Super-organizing Maps in R : The kohonen Package

In this age of ever-increasing data set sizes, especially in the natural sciences, visualisation becomes more and more important. Self-organizing maps have many features that make them attractive in this respect: they do not rely on distributional assumptions, can handle huge data sets with ease, an...

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Bibliographic Details
Published in:Journal of statistical software 2007-10, Vol.21 (5)
Main Authors: Wehrens, Ron, Buydens, Lutgarde M. C.
Format: Article
Language:English
Subjects:
classification
clustering
self-organizing maps
visualisation
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Summary:In this age of ever-increasing data set sizes, especially in the natural sciences, visualisation becomes more and more important. Self-organizing maps have many features that make them attractive in this respect: they do not rely on distributional assumptions, can handle huge data sets with ease, and have shown their worth in a large number of applications. In this paper, we highlight the kohonen package for R, which implements self-organizing maps as well as some extensions for supervised pattern recognition and data fusion.
ISSN:1548-7660
1548-7660
DOI:10.18637/jss.v021.i05