{"paper":{"title":"Cartes auto-organis\\'{e}es pour l'analyse exploratoire de donn\\'{e}es et la visualisation","license":"","headline":"","cross_cats":["cs.NE","nlin.AO","stat.TH"],"primary_cat":"math.ST","authors_text":"Marie Cottrell (MATISSE, Patrick Letr\\'emy (MATISSE, Patrick Rousset (CEREQ), Samos), Sma\\\"Il Ibbou (MATISSE","submitted_at":"2006-11-14T12:52:21Z","abstract_excerpt":"This paper shows how to use the Kohonen algorithm to represent multidimensional data, by exploiting the self-organizing property. It is possible to get such maps as well for quantitative variables as for qualitative ones, or for a mixing of both. The contents of the paper come from various works by SAMOS-MATISSE members, in particular by E. de Bodt, B. Girard, P. Letr\\'{e}my, S. Ibbou, P. Rousset. Most of the examples have been studied with the computation routines written by Patrick Letr\\'{e}my, with the language IML-SAS, which are available on the WEB page http://samos.univ-paris1.fr."},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"math/0611422","kind":"arxiv","version":1},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"references":{"count":0,"sample":[],"resolved_work":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","internal_anchors":0},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"author_claims":{"count":0,"strong_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"builder_version":"pith-number-builder-2026-05-17-v1"}