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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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3.0.12
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Install
install.packages('kohonen')
Monthly Downloads
3,361
Version
3.0.12
License
GPL (>= 2)
Maintainer
Ron Wehrens
Last Published
June 9th, 2023
Functions in kohonen (3.0.12)
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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