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Cybern. 43, 59–69 (1982)](https://doi.org/10.1007/BF00337288)\r\n\r\nBook: [Self-Organizing Maps](https://doi.org/10.1007/978-3-642-56927-2)","description_state":"present","introduced_year":null,"introduced_by":{"title":null,"paper":null,"first_author":null,"n_authors":0,"url_abs":null,"archive_paper_url":null},"source":{"url":null,"title":null,"url_on_a_paper_host":false},"code_snippet_url":null,"code_snippet_url_on_a_code_host":false,"categories":[{"area":"General","area_id":"general","collection":"Clustering","url":"/methods/category/clustering","pwc_aliases":[]}],"n_papers_tagged":106,"archive_num_papers":106,"papers_newest_first":[{"paper":null,"title":"Foundation Model Empowered Synesthesia of Machines (SoM): AI-native Intelligent Multi-Modal Sensing-Communication Integration","date":"2025-06-09","arxiv_id":"2506.07647","n_code_links":0,"syntology":null},{"paper":null,"title":"Enhancing Math Learning in an LMS Using AI-Driven Question 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