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kohonen (version 3.0.10)

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

3,427

Version

3.0.10

License

GPL (>= 2)

Maintainer

Ron Wehrens

Last Published

November 26th, 2019

Functions in kohonen (3.0.10)

wines

Wine data
unit.distances

SOM-grid related functions
tricolor

Provides smooth unit colors for SOMs
predict.kohonen

Predict properties using a trained Kohonen map
nir

Near-infrared data with temperature effects
plot.kohonen

Plot kohonen object
summary.kohonen

Summary and print methods for kohonen objects
supersom

Self- and super-organising maps
yeast

Yeast cell-cycle data
peppaPic

Synthetic image of a pepper plant with peppers
classvec2classmat

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

kohonen
getCodes

Extract codebook vectors from a kohonen object
degelder

Powder pattern data by Rene de Gelder
map.kohonen

Map data to a supervised or unsupervised SOM
object.distances

Calculate distances between object vectors in a SOM
check.whatmap

Check the validity of a whatmap argument
expandMap

Expand a self-organising map