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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 [aut, cre]
Maintainer:	Gianluca Pastorelli <gianluca.pastorelli at gmail.com>
License:	MIT + fileLICENSE
NeedsCompilation:	no
CRAN checks:	somhca results

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