kohonen (version 3.0.13)

Supervised and Unsupervised Self-Organising Maps

Description

Functions to train self-organising maps (SOMs). Also interrogation of the maps and prediction using trained maps are supported. The name of the package refers to Teuvo Kohonen, the inventor of the SOM.

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Version

Install

install.packages('kohonen')

Monthly Downloads

6,340

Version

3.0.13

License

GPL (>= 2)

Maintainer

Ron Wehrens

Last Published

January 22nd, 2026

Functions in kohonen (3.0.13)

expandMap

Expand a self-organising map

classvec2classmat

Convert a classification vector into a matrix or the other way around.

map.kohonen

Map data to a supervised or unsupervised SOM

kohonen-package

tools:::Rd_package_title("kohonen")

object.distances

Calculate distances between object vectors in a SOM

getCodes

Extract codebook vectors from a kohonen object

check.whatmap

Check the validity of a whatmap argument

degelder

Powder pattern data by Rene de Gelder

layer.distances

Assessing distances to winning units

tricolor

Provides smooth unit colors for SOMs

nir

Near-infrared data with temperature effects

peppaPic

Synthetic image of a pepper plant with peppers

unit.distances

SOM-grid related functions

yeast

Yeast cell-cycle data

supersom

Self- and super-organising maps

summary.kohonen

Summary and print methods for kohonen objects

predict.kohonen

Predict properties using a trained Kohonen map