This package is considered a duplicate. The official version of this package is found at:https://rwehrens.r-universe.dev/kohonen

Package: kohonen 3.0.12

Ron Wehrens

kohonen: 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.

Authors:Ron Wehrens and Johannes Kruisselbrink

kohonen_3.0.12.tar.gz
kohonen_3.0.12.tar.gz(r-4.5-noble)kohonen_3.0.12.tar.gz(r-4.4-noble)
kohonen_3.0.12.tgz(r-4.4-emscripten)kohonen_3.0.12.tgz(r-4.3-emscripten)
kohonen.pdf |kohonen.html✨
kohonen/json (API)
NEWS

# Install 'kohonen' in R:

install.packages('kohonen', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

Uses libs:

c++– GNU Standard C++ Library v3
openmp– GCC OpenMP (GOMP) support library

Datasets:

degelder - Powder pattern data by Rene de Gelder
nir - Near-infrared data with temperature effects
peppaPic - Synthetic image of a pepper plant with peppers
vintages - Wine data
wines - Wine data
yeast - Yeast cell-cycle data

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

cpp openmp

6.92 score 9 stars 13 packages 708 scripts 3.3k downloads 12 mentions 17 exports 1 dependencies

Last updated 2 years agofrom:a2c9c8268f. Checks:OK: 2. Indexed: no.

Target	Result	Date
Doc / Vignettes	OK	Dec 01 2024
R-4.5-linux-x86_64	OK	Dec 01 2024

Exports:add.cluster.boundaries check.whatmap classmat2classvec classvec2classmat dist2WU expandMap getCodes layer.distances map nunits object.distances som somgrid supersom tricolor unit.distances xyf

Dependencies:Rcpp

Citation

Readme and manuals

Help Manual

Help page	Topics
Supervised and Unsupervised Self-Organising Maps	kohonen-package kohonen
Check the validity of a whatmap argument	check.whatmap
Convert a classification vector into a matrix or the other way around.	classmat2classvec classvec2classmat
Powder pattern data by Rene de Gelder	degelder
Expand a self-organising map	expandMap
Extract codebook vectors from a kohonen object	getCodes
Assessing distances to winning units	dist2WU layer.distances
Map data to a supervised or unsupervised SOM	map map.kohonen
Near-infrared data with temperature effects	nir
Calculate distances between object vectors in a SOM	object.distances
Synthetic image of a pepper plant with peppers	peppaPic
Plot kohonen object	add.cluster.boundaries identify.kohonen plot.kohonen
Predict properties using a trained Kohonen map	predict.kohonen
Summary and print methods for kohonen objects	print.kohonen summary.kohonen
Self- and super-organising maps	nunits som supersom xyf
Provides smooth unit colors for SOMs	tricolor
SOM-grid related functions	somgrid unit.distances
Wine data	vintages wines
Yeast cell-cycle data	yeast

Package: kohonen 3.0.12

kohonen: Supervised and Unsupervised Self-Organising Maps

Citation

Readme and manuals

Help Manual

Usage by other packages (reverse dependencies)