kohonen (version 3.0.12)

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

3,296

Version

3.0.12

License

GPL (>= 2)

Maintainer

Ron Wehrens

Last Published

June 9th, 2023

Functions in kohonen (3.0.12)

supersom

Self- and super-organising maps

yeast

Yeast cell-cycle data

plot.kohonen

Plot kohonen object

summary.kohonen

Summary and print methods for kohonen objects

wines

Wine data

predict.kohonen

Predict properties using a trained Kohonen map

unit.distances

SOM-grid related functions

tricolor

Provides smooth unit colors for SOMs

peppaPic

Synthetic image of a pepper plant with peppers

object.distances

Calculate distances between object vectors in a SOM

nir

Near-infrared data with temperature effects

classvec2classmat

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

check.whatmap

Check the validity of a whatmap argument

kohonen-package

tools:::Rd_package_title("kohonen")

degelder

Powder pattern data by Rene de Gelder

expandMap

Expand a self-organising map

getCodes

Extract codebook vectors from a kohonen object

map.kohonen

Map data to a supervised or unsupervised SOM

layer.distances

Assessing distances to winning units