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somhca: Self-Organising Maps Coupled with Hierarchical Cluster Analysis

Implements self-organising maps combined with hierarchical cluster analysis (SOM-HCA) for clustering and visualization of high-dimensional data. The package includes functions to estimate the optimal map size based on various quality measures and to generate a model using the selected dimensions. It also performs hierarchical clustering on the map nodes to group similar units. Documentation about the SOM-HCA method is provided in Pastorelli et al. (2024) <doi:10.1002/xrs.3388>.

Version: 0.2.0
Depends: dplyr, kohonen, aweSOM, maptree, RColorBrewer
Published: 2025-01-27
DOI: 10.32614/CRAN.package.somhca
Author: Gianluca Pastorelli ORCID iD [aut, cre]
Maintainer: Gianluca Pastorelli <gianluca.pastorelli at gmail.com>
License: MIT + file LICENSE
NeedsCompilation: no
CRAN checks: somhca results

Documentation:

Reference manual: somhca.pdf

Downloads:

Package source: somhca_0.2.0.tar.gz
Windows binaries: r-devel: somhca_0.2.0.zip, r-release: somhca_0.2.0.zip, r-oldrel: somhca_0.2.0.zip
macOS binaries: r-devel (arm64): somhca_0.2.0.tgz, r-release (arm64): somhca_0.2.0.tgz, r-oldrel (arm64): somhca_0.2.0.tgz, r-devel (x86_64): somhca_0.2.0.tgz, r-release (x86_64): somhca_0.2.0.tgz, r-oldrel (x86_64): somhca_0.2.0.tgz
Old sources: somhca archive

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These binaries (installable software) and packages are in development.
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