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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>.

Versions across snapshots

VersionRepositoryFileSize
0.3.0 rolling linux/jammy R-4.5 somhca_0.3.0.tar.gz 52.5 KiB
0.3.0 rolling linux/noble R-4.5 somhca_0.3.0.tar.gz 52.4 KiB
0.3.0 rolling source/ R- somhca_0.3.0.tar.gz 21.9 KiB
0.3.0 latest linux/jammy R-4.5 somhca_0.3.0.tar.gz 52.5 KiB
0.3.0 latest linux/noble R-4.5 somhca_0.3.0.tar.gz 52.4 KiB
0.3.0 latest source/ R- somhca_0.3.0.tar.gz 21.9 KiB
0.3.0 2026-04-26 source/ R- somhca_0.3.0.tar.gz 21.9 KiB
0.3.0 2026-04-23 source/ R- somhca_0.3.0.tar.gz 21.9 KiB
0.3.0 2026-04-09 windows/windows R-4.5 somhca_0.3.0.zip 53.0 KiB
0.2.0 2025-04-20 source/ R- somhca_0.2.0.tar.gz 18.2 KiB

Dependencies (latest)

Imports