{"about":{"site":"https://codewithpapers.app","non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page"},"url":"/paper/initialization-of-self-organizing-maps","title":"Initialization of Self-Organizing Maps: Principal Components Versus Random Initialization. A Case Study","arxiv_id":"1210.5873","date":"2012-10-22","proceeding":null,"authors":["A. A. Akinduko","E. M. Mirkes"],"abstract":"The performance of the Self-Organizing Map (SOM) algorithm is dependent on\nthe initial weights of the map. The different initialization methods can\nbroadly be classified into random and data analysis based initialization\napproach. In this paper, the performance of random initialization (RI) approach\nis compared to that of principal component initialization (PCI) in which the\ninitial map weights are chosen from the space of the principal component.\nPerformance is evaluated by the fraction of variance unexplained (FVU).\nDatasets were classified into quasi-linear and non-linear and it was observed\nthat RI performed better for non-linear datasets; however the performance of\nPCI approach remains inconclusive for quasi-linear datasets.","url_abs":"http://arxiv.org/abs/1210.5873v1","url_pdf":"http://arxiv.org/pdf/1210.5873v1.pdf","source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","row_kind":"abstracts"},"code_links":[{"paper_slug":"initialization-of-self-organizing-maps","repo_url":"https://github.com/OpenReqEU/analytics-backend","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"none","reach":null}],"tasks":[],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"atlas_url":null,"mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}