R: Supervised and Unsupervised Self-Organising Maps

# Supervised and Unsupervised Self-Organising Maps

## Documentation for package ‘kohonen’ version 3.0.13

- DESCRIPTION file
- User guides, package vignettes and other documentation
- Code demos. Use demo() to run them.
- Package NEWS

## Help Pages

kohonen-package | Supervised and Unsupervised Self-Organising Maps
add.cluster.boundaries | Plot kohonen object
check.whatmap | Check the validity of a whatmap argument
classmat2classvec | Convert a classification vector into a matrix or the other way around.
classvec2classmat | Convert a classification vector into a matrix or the other way around.
degelder | Powder pattern data by Rene de Gelder
dist2WU | Assessing distances to winning units
expandMap | Expand a self-organising map
getCodes | Extract codebook vectors from a kohonen object
identify.kohonen | Plot kohonen object
kohonen | Supervised and Unsupervised Self-Organising Maps
layer.distances | Assessing distances to winning units
map | Map data to a supervised or unsupervised SOM
map.kohonen | Map data to a supervised or unsupervised SOM
nir | Near-infrared data with temperature effects
nunits | Self- and super-organising maps
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
print.kohonen | Summary and print methods for kohonen objects
som | Self- and super-organising maps
somgrid | SOM-grid related functions
summary.kohonen | 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
vintages | Wine data
wines | Wine data
xyf | Self- and super-organising maps
yeast | Yeast cell-cycle data