som.nn: Topological k-NN Classifier Based on Self-Organising Maps

A topological version of k-NN: An abstract model is build as 2-dimensional self-organising map. Samples of unknown class are predicted by mapping them on the SOM and analysing class membership of neurons in the neighbourhood.

Version: 1.1.0
Imports: hexbin, class, kohonen, som, methods, graphics, grDevices, stats, utils
Published: 2017-02-24
Author: Andreas Dominik
Maintainer: Andreas Dominik <andreas.dominik at mni.thm.de>
License: GPL-3
NeedsCompilation: no
CRAN checks: som.nn results

Documentation:

Reference manual: som.nn.pdf

Downloads:

Package source: som.nn_1.1.0.tar.gz
Windows binaries: r-devel: som.nn_1.1.0.zip, r-release: som.nn_1.1.0.zip, r-oldrel: som.nn_1.1.0.zip
macOS binaries: r-release (arm64): som.nn_1.1.0.tgz, r-oldrel (arm64): som.nn_1.1.0.tgz, r-release (x86_64): som.nn_1.1.0.tgz, r-oldrel (x86_64): som.nn_1.1.0.tgz
Old sources: som.nn archive

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