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  "Title": "Self-Organising Maps Coupled with Hierarchical Cluster Analysis",
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  "Description": "Implements self-organising maps combined with hierarchical\ncluster analysis (SOM-HCA) for clustering and visualization of\nhigh-dimensional data. The package includes functions to\nestimate the optimal map size based on various quality measures\nand to generate a model using the selected dimensions. It also\nperforms hierarchical clustering on the map nodes or other data\nto group similar units. Documentation about the SOM-HCA method\nis provided in Pastorelli et al. (2024) <doi:10.1002/xrs.3388>.",
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  "Repository": "https://gianluca-pastorelli.r-universe.dev",
  "Date/Publication": "2026-05-20 10:10:32 UTC",
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  "Author": "Gianluca Pastorelli [aut, cre] (ORCID:\n<https://orcid.org/0000-0001-6926-1952>)",
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