Published by the Foundation for Open Access Statistics
Editors-in-chief: Bettina Grün, Torsten Hothorn, Edzer Pebesma, Achim Zeileis    ISSN 1548-7660; CODEN JSSOBK
Self- and Super-organizing Maps in R: The kohonen Package | Wehrens | Journal of Statistical Software
Authors: Ron Wehrens, Lutgarde M. C. Buydens
Title: Self- and Super-organizing Maps in R: The kohonen Package
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.

Page views:: 30250. Submitted: 2007-05-04. Published: 2007-10-08.
Paper: Self- and Super-organizing Maps in R: The kohonen Package     Download PDF (Downloads: 38164)
Supplements:
kohonen_2.0.0.tar.gz: R source package Download (Downloads: 1919; 603KB)
v21i05-figures.R.zip: v21i05-figures.R: R code for producing the figures from the paper Download (Downloads: 1942; 1KB)
v21i05.R.zip: v21i05.R: R example code from the paper Download (Downloads: 2062; 1KB)
DOI: 10.18637/jss.v021.i05

by
This work is licensed under the licenses
Paper: Creative Commons Attribution 3.0 Unported License
Code: GNU General Public License (at least one of version 2 or version 3) or a GPL-compatible license.