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

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  • Wehrens, Ron
  • Buydens, Lutgarde M. C.

Abstract

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.

Suggested Citation

  • Wehrens, Ron & Buydens, Lutgarde M. C., 2007. "Self- and Super-organizing Maps in R: The kohonen Package," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 21(i05).
    • Handle: RePEc:jss:jstsof:v:021:i05
    DOI: http://hdl.handle.net/10.18637/jss.v021.i05
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