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: | 0.3.0 |
| Imports: | kohonen, aweSOM, dplyr, RColorBrewer, grDevices, stats, utils, maptree, fpc |
| Published: | 2026-02-07 |
| DOI: | 10.32614/CRAN.package.somhca |
| 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.html , somhca.pdf |
Downloads:
| Package source: | somhca_0.3.0.tar.gz |
| Windows binaries: | r-devel: somhca_0.3.0.zip, r-release: somhca_0.3.0.zip, r-oldrel: somhca_0.3.0.zip |
| macOS binaries: | r-release (arm64): somhca_0.3.0.tgz, r-oldrel (arm64): somhca_0.3.0.tgz, r-release (x86_64): somhca_0.3.0.tgz, r-oldrel (x86_64): somhca_0.3.0.tgz |
| Old sources: | somhca archive |
Linking:
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