Supervised and Unsupervised Self-Organising Maps
Check the validity of a whatmap argument
Assessing distances to winning units
Map data to a supervised or unsupervised SOM
Calculate distances between object vectors in a SOM
Plot kohonen object
Predict properties using a trained Kohonen map
Convert a classification vector into a matrix or the other way around.
Expand a self-organising map
Extract codebook vectors from a kohonen object
tools:::Rd_package_title("kohonen")
Summary and print methods for kohonen objects
Self- and super-organising maps
Provides smooth unit colors for SOMs
SOM-grid related functions
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.