Package: somhca
Type: Package
Title: Self-Organising Maps Coupled with Hierarchical Cluster Analysis
Version: 0.4.0
Authors@R: person(given = "Gianluca",
                  family = "Pastorelli",
                  role = c("aut", "cre"),
                  email = "gianluca.pastorelli@gmail.com",
			comment = c(ORCID = "0000-0001-6926-1952"))
Description: 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 or other data
        to group similar units. Documentation about the SOM-HCA method
        is provided in Pastorelli et al. (2024) <doi:10.1002/xrs.3388>.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: kohonen, aweSOM, dplyr, RColorBrewer, grDevices, stats, utils,
        maptree, fpc
RoxygenNote: 7.3.3
Config/pak/sysreqs: cmake make libicu-dev libuv1-dev libx11-dev
        zlib1g-dev
Repository: https://gianluca-pastorelli.r-universe.dev
Date/Publication: 2026-05-20 10:10:32 UTC
RemoteUrl: https://github.com/gianluca-pastorelli/somhca
RemoteRef: HEAD
RemoteSha: 9b49b78c8bc8dcf649122d16a46fed41b67054ae
NeedsCompilation: no
Packaged: 2026-10-18 06:49:49 UTC; root
Author: Gianluca Pastorelli [aut, cre] (ORCID:
    <https://orcid.org/0000-0001-6926-1952>)
Maintainer: Gianluca Pastorelli <gianluca.pastorelli@gmail.com>