Functions for Constructing and Evaluating Self-Organizing Maps

A self-organizing map package with three distinguishing features: (1) Automatic cluster centroid detection and visualization using starbursts (2) Convergence index, a statistical quality measure based on the linear combination of map embedding and estimated topographic accuracy (3) A very efficient stochastic training algorithm based on ideas from tensor algebra.


R package for self-organizing maps contains state of the art learning algorithms, visualizations, and evaluation functions.

News

Release 4.2

  • supports the Kolgomorov-Smirnov convergence test.
  • supports merging of clusters on the map that are close by
  • supports marginal distribution plots

Reference manual

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install.packages("popsom")

4.3.1 by Lutz Hamel, a month ago


https://github.com/lutzhamel/popsom


Browse source code at https://github.com/cran/popsom


Authors: Lutz Hamel [aut, cre] , Benjamin Ott [aut] , Gregory Breard [aut] , Robert Tatoian [aut] , Michael Eiger [aut] , Vishakh Gopu [aut]


Documentation:   PDF Manual  


GPL license


Imports som, class, fields, graphics, ggplot2


See at CRAN