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kohonen

Supervised and Unsupervised Self-Organising Maps

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.

Functions (18)

check.whatmap

Check the validity of a whatmap argument

classvec2classmat

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

degelder

Powder pattern data by Rene de Gelder

expandMap

Expand a self-organising map

getCodes

Extract codebook vectors from a kohonen object

kohonen-package

Supervised and Unsupervised Self-Organising Maps

map.kohonen

Map data to a supervised or unsupervised SOM

nir

Near-infrared data with temperature effects

object.distances

Calculate distances between object vectors in a SOM

peppaPic

Synthetic image of a pepper plant with peppers

plot.kohonen

Plot kohonen object

predict.kohonen

Predict properties using a trained Kohonen map

summary

Summary and print methods for kohonen objects

supersom

Self- and super-organising maps

tricolor

Provides smooth unit colors for SOMs

unit.distances

SOM-grid related functions

wines

Wine data

yeast

Yeast cell-cycle data

kohonen

Supervised and Unsupervised Self-Organising Maps

v3.0.10

GPL (>= 2)

Authors

Ron Wehrens and Johannes Kruisselbrink

Initial release

kohonen

Functions (18)

kohonen

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