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: |
1.3 |
| 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 results |
Documentation:
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