kohonen v3.0.8

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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 in kohonen

Name Description
map.kohonen Map data to a supervised or unsupervised SOM
summary.kohonen Summary and print methods for kohonen objects
supersom Self- and super-organising maps
getCodes Extract codebook vectors from a kohonen object
kohonen-package kohonen
check.whatmap Check the validity of a whatmap argument
classvec2classmat Convert a classification vector into a matrix or the other way around.
plot.kohonen Plot kohonen object
predict.kohonen Predict properties using a trained Kohonen map
degelder Powder pattern data by Rene de Gelder
expandMap Expand a self-organising map
wines Wine data
yeast Yeast cell-cycle data
object.distances Calculate distances between object vectors in a SOM
peppaPic Synthetic image of a pepper plant with peppers
tricolor Provides smooth unit colors for SOMs
unit.distances SOM-grid related functions
nir Near-infrared data with temperature effects
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License GPL (>= 2)
LinkingTo Rcpp
NeedsCompilation yes
Packaged 2018-12-17 09:03:17 UTC; ron
Repository CRAN
Date/Publication 2018-12-17 12:30:08 UTC

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