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 language | English |
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Publication date | 27 Jan 2025 |
Media of output | Online |
DOIs | |
Publication status | Published - 27 Jan 2025 |
Keywords
- R
- SOM-HCA 0.2.0