somhca
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 to group similar units. Documentation about the SOM-HCA method is provided in Pastorelli et al. (2024) doi:10.1002/xrs.3388.
- Version0.2.0
- R versionunknown
- LicenseMIT
- Needs compilation?No
- Last release01/27/2025
Team
Gianluca Pastorelli
MaintainerShow author details
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- Depends5 packages