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somhca: Self-Organising Maps Coupled with Hierarchical Cluster Analysis

Research output: Non-textual formComputer programmeResearchpeer-review

Abstract

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.
Original languageEnglish
Publication date27 Jan 2025
Media of outputOnline
DOIs
Publication statusPublished - 27 Jan 2025

Keywords

  • R
  • somhca

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