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  "Description": "Implements a variant of the Self-Organizing Map (SOM)\nalgorithm designed for mixed-attribute datasets. Similarity\nbetween observations is computed using the Gower distance, and\ncategorical prototypes are updated via heuristic strategies\n(weighted mode and multinomial sampling). Provides functions\nfor model fitting, mapping, visualization (U-Matrix and\ncomponent planes), and evaluation, making SOM applicable to\nheterogeneous real-world data. For methodological details see\nSáez and Salas (2026) <doi:10.1007/s41060-025-00941-6>.",
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