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: 1.3 Depends: R (≥ 3.1.0) Imports: kohonen (≥ 2.0), shiny (≥ 1.6), htmlwidgets, bslib, rmarkdown, htmltools, rclipboard, ggplot2, RColorBrewer, viridis, data.table, DT, kernlab, fields, stats, cluster, e1071, haven, foreign, readxl, readODS Suggests: knitr Published: 2022-08-30 DOI: 10.32614/CRAN.package.aweSOM 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 resultsRetroSearch is an open source project built by @garambo | Open a GitHub Issue
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