# -------------------------------------------- # CITATION file created with {cffr} R package # See also: https://docs.ropensci.org/cffr/ # -------------------------------------------- cff-version: 1.2.0 message: 'To cite package "GowerSom" in publications use:' type: software license: GPL-2.0-only title: 'GowerSom: Self-Organizing Maps for Mixed-Attribute Data Using Gower Distance' version: 0.1.0 doi: 10.32614/CRAN.package.GowerSom abstract: Implements a variant of the Self-Organizing Map (SOM) algorithm designed for mixed-attribute datasets. Similarity between observations is computed using the Gower distance, and categorical prototypes are updated via heuristic strategies (weighted mode and multinomial sampling). Provides functions for model fitting, mapping, visualization (U-Matrix and component planes), and evaluation, making SOM applicable to heterogeneous real-world data. For methodological details see Sáez and Salas (2026) . authors: - family-names: Salas given-names: Patricio email: patricioasalas@udec.cl orcid: https://orcid.org/0000-0002-2201-4038 - family-names: Sáez given-names: Patricio orcid: https://orcid.org/0000-0002-0113-3644 repository: https://cran.r-universe.dev commit: 922570423911c9850c27705ca4ae6ca6c81856ea date-released: '2026-01-27' contact: - family-names: Salas given-names: Patricio email: patricioasalas@udec.cl orcid: https://orcid.org/0000-0002-2201-4038