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somhca (version 0.2.0)

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

153

Version

0.2.0

License

MIT + file LICENSE

Maintainer

Gianluca Pastorelli

Last Published

January 27th, 2025

Functions in somhca (0.2.0)

getClusterData

Retrieve Clustered Data
optimalSOM

Estimate Optimal SOM Grid Size
clusterSOM

Perform Clustering on SOM Nodes
loadMatrix

Load Data and Convert to a Matrix
finalSOM

Train Final SOM Model
generatePlot

Generate SOM Visualization Plots