Interactive Self-Organizing Maps
Overview
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.
Fixed bugs:
- Fixed html issues in documentation, to comply with R.4.2.0
From NEWS.md in the release
Install
Health
NOTEdependencies in R coder-devel-linux-x86_64-fedora-clang, r-devel-linux-x86_64-fedora-gcc
Namespaces in Imports field not imported from: ‘DT’ ‘bslib’ ‘rclipboard’ ‘rmarkdown’ All declared Imports should be used.
- NOTE11 OK, 2 NOTE2026-08-05
- WARNING10 OK, 2 NOTE, 1 WARNING2026-07-30
- NOTE11 OK, 2 NOTE2026-06-09
- ERROR10 OK, 2 NOTE, 1 ERROR2026-06-08
- NOTE12 OK, 2 NOTE2026-03-10
Documentation
- Help pages
- 12includes a package overview page
- Examples that run
- 100%7 run in a plain check
- Exported functions with examples
- 64%
- Documented parameters
- 91%
- Return-value docs
- 100%
- Help pages citing references
- 25%
Downloads
Dependencies
Installing aweSOM adds 88 packages (49 with compiled code, 82 MB of source tarballs). Heaviest: stringi 11 MB, ggplot2 6.0 MB, data.table 5.7 MB.
Code & Tests
People & History
Pick two releases to compare their code metrics.
- RR 4.6.0 released · 2026-04-24
- RR 4.5.0 released · 2025-04-11
- RR 4.4.0 released · 2024-04-24
- RR 4.3.0 released · 2023-04-21
- 1.3Latest
- RR 4.2.0 released · 2022-04-22
- RR 4.1.0 released · 2021-05-18
- 1.22021-03-18 · diff ↗
- 1.1
- 1.02021-01-22
- RR 4.0.0 released · 2020-04-24
Package metadata
- First published
- 2021-01-22
- Total releases
- 4 / 5 yrs
- License
- GPL (>= 2) OSI
- Minimum R
- ≥ 3.1.0
- Download size
- 434 KB
Cite
Cite this package
Run in R for the authors' preferred citation:
citation("aweSOM")This package has no citation file, so citation() returns this entry built from DESCRIPTION.
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