aweSOM: Interactive Self-Organizing Maps

Self-organizing maps (also known as SOM, see Kohonen (2001) <doi:10.1007/978-3-642-56927-2>) are a method for dimensionality reduction and clustering of continuous data. This package introduces interactive (html) graphics for easier analysis of SOM results. It also features an interactive interface, for push-button training and visualization of SOM on numeric, categorical or mixed data, as well as tools to evaluate the quality of SOM.

Version: 1.1
Depends: R (≥ 3.1.0)
Imports: kohonen, shiny, htmlwidgets, rmarkdown, htmltools, rclipboard, RColorBrewer, viridis, data.table, DT, kernlab, stats, cluster, e1071, haven, foreign, readxl
Suggests: knitr
Published: 2021-02-15
Author: Julien Boelaert [aut, cre], Etienne Ollion [aut], Jan Sodoge [aut], Mohamed Megdoud [ctb], Otmane Naji [ctb], Arnaud Lemba Kote [ctb], Theo Renoud [ctb], Samuel Hym [ctb]
Maintainer: Julien Boelaert <julien.boelaert at univ-lille.fr>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: no
Materials: NEWS
CRAN checks: aweSOM results

Downloads:

Reference manual: aweSOM.pdf
Vignettes: aweSOM
Package source: aweSOM_1.1.tar.gz
Windows binaries: r-devel: aweSOM_1.1.zip, r-release: aweSOM_1.1.zip, r-oldrel: aweSOM_1.1.zip
macOS binaries: r-release: aweSOM_1.1.tgz, r-oldrel: aweSOM_1.1.tgz
Old sources: aweSOM archive

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