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 or other data to group similar units. Documentation about the SOM-HCA method is provided in Pastorelli et al. (2024) .


Reference manual

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install.packages("somhca")

0.4.0 by Gianluca Pastorelli, 5 months ago


Browse source code at https://github.com/cran/somhca


Authors: Gianluca Pastorelli [aut, cre] (ORCID:


Documentation:   PDF Manual  


MIT + file LICENSE license


Imports kohonen, aweSOM, dplyr, RColorBrewer, grDevices, stats, utils, maptree, fpc


See at CRAN