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, 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.

• Publication year

  2007

• Venue

  Journal of Statistical Software

• Publication date

  2007-10-08

• Fields of study

  Mathematics, Computer Science

• Identifiers
  DOI 10.18637/JSS.V021.I05
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar

• No claims are published for this paper.

• No concepts are published for this paper.

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