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 subsequently generates a model with 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:	0.1.3
Depends:	dplyr, kohonen, aweSOM, maptree, RColorBrewer
Published:	2025-01-23
Author:	Gianluca Pastorelli [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_0.1.3.tar.gz
Windows binaries:	r-devel: not available, r-release: not available, r-oldrel: not available
macOS binaries:	r-release (arm64): not available, r-oldrel (arm64): not available, r-release (x86_64): not available, r-oldrel (x86_64): not available

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