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somhca (version 0.3.0)

Self-Organising Maps Coupled with Hierarchical Cluster Analysis

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

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Version

Install

install.packages('somhca')

Monthly Downloads

144

Version

0.3.0

License

MIT + file LICENSE

Maintainer

Gianluca Pastorelli

Last Published

February 7th, 2026

Functions in somhca (0.3.0)

optimalSOM

Estimate Optimal SOM Grid Size
loadMatrix

Load Data and Convert to a Matrix
generatePlot

Generate SOM Visualization Plots
getClusterData

Retrieve Clustered Data
clusterSOM

Perform Clustering on SOM Nodes
finalSOM

Train Final SOM Model