somhca: Self-Organising Maps Coupled with Hierarchical Cluster Analysis
Gianluca Pastorelli · 2025
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 subsequently generates a model with 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) .