kohonen v3.0.10

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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
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
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License GPL (>= 2)
LinkingTo Rcpp
NeedsCompilation yes
Packaged 2019-11-26 09:14:12 UTC; ron
Repository CRAN
Date/Publication 2019-11-26 09:50:03 UTC

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