articleJournal of Statistical SoftwareJan 1, 2007DIAMOND OA

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

Radboud University Nijmegen

Indexed incrossrefdoaj

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.

Citation impact

693
total citations
FWCI
4.84
Percentile
100%
References
16
Citations per year

Authors

2

Topics & keywords

Keywords
  • Self-organizing map
  • Computer science
  • R package
  • Set (abstract data type)
  • Data mining
  • Pattern recognition (psychology)
  • Artificial intelligence
  • Data set
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