{"id":"https://openalex.org/W1484252993","doi":"https://doi.org/10.1007/978-1-4471-0715-6_25","title":"Estimating Relevant Input Dimensions for Self-organizing Algorithms","display_name":"Estimating Relevant Input Dimensions for Self-organizing Algorithms","publication_year":2001,"publication_date":"2001-01-01","ids":{"openalex":"https://openalex.org/W1484252993","doi":"https://doi.org/10.1007/978-1-4471-0715-6_25","mag":"1484252993"},"language":"en","primary_location":{"id":"doi:10.1007/978-1-4471-0715-6_25","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-1-4471-0715-6_25","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Advances in Self-Organising Maps","raw_type":"book-chapter"},"type":"book-chapter","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5091180862","display_name":"Barbara Hammer","orcid":"https://orcid.org/0000-0002-0935-5591"},"institutions":[{"id":"https://openalex.org/I170658231","display_name":"Osnabr\u00fcck University","ror":"https://ror.org/04qmmjx98","country_code":"DE","type":"education","lineage":["https://openalex.org/I170658231"]},{"id":"https://openalex.org/I4210159638","display_name":"Hochschule Osnabr\u00fcck","ror":"https://ror.org/059vymd37","country_code":"DE","type":"education","lineage":["https://openalex.org/I4210159638"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Barbara Hammer","raw_affiliation_strings":["Department of Mathematics/Computer Science, University of Osnabr\u00fcck, Albrechtstra\u00dfe 28, 49069, Osnabr\u00fcck, Germany","Department of Mathematics/Computer Science, University of Osnabr\u00fcck, Osnabr\u00fcck, Germany"],"affiliations":[{"raw_affiliation_string":"Department of Mathematics/Computer Science, University of Osnabr\u00fcck, Albrechtstra\u00dfe 28, 49069, Osnabr\u00fcck, Germany","institution_ids":["https://openalex.org/I170658231","https://openalex.org/I4210159638"]},{"raw_affiliation_string":"Department of Mathematics/Computer Science, University of Osnabr\u00fcck, Osnabr\u00fcck, Germany","institution_ids":["https://openalex.org/I170658231"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5027248793","display_name":"Thomas Villmann","orcid":"https://orcid.org/0000-0001-6725-0141"},"institutions":[{"id":"https://openalex.org/I926574661","display_name":"Leipzig University","ror":"https://ror.org/03s7gtk40","country_code":"DE","type":"education","lineage":["https://openalex.org/I926574661"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Thomas Villmann","raw_affiliation_strings":["Clinic for Psychotherapy and Psychosomatic Medicine, University of Leipzig, Karl-Tauchnitz-Stra\u00dfe 25, 04107, Leipzig, Germany","Clinic for Psychotherapy and Psychosomatic Medicine, University of Leipzig, Leipzig, Germany"],"affiliations":[{"raw_affiliation_string":"Clinic for Psychotherapy and Psychosomatic Medicine, University of Leipzig, Karl-Tauchnitz-Stra\u00dfe 25, 04107, Leipzig, Germany","institution_ids":["https://openalex.org/I926574661"]},{"raw_affiliation_string":"Clinic for Psychotherapy and Psychosomatic Medicine, University of Leipzig, Leipzig, Germany","institution_ids":["https://openalex.org/I926574661"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5091180862"],"corresponding_institution_ids":["https://openalex.org/I170658231","https://openalex.org/I4210159638"],"apc_list":null,"apc_paid":null,"fwci":2.9793,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":{"value":0.94849785,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"173","last_page":"180"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9965999722480774,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9965999722480774,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11447","display_name":"Blind Source Separation Techniques","score":0.995199978351593,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.9890999794006348,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/weighting","display_name":"Weighting","score":0.8011595606803894},{"id":"https://openalex.org/keywords/vector-quantization","display_name":"Vector quantization","score":0.7347614169120789},{"id":"https://openalex.org/keywords/dimension","display_name":"Dimension (graph theory)","score":0.6181692481040955},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6071703433990479},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.577650785446167},{"id":"https://openalex.org/keywords/quantization","display_name":"Quantization (signal processing)","score":0.5313535332679749},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5256834030151367},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5142738223075867},{"id":"https://openalex.org/keywords/pruning","display_name":"Pruning","score":0.4935110807418823},{"id":"https://openalex.org/keywords/learning-vector-quantization","display_name":"Learning vector quantization","score":0.476794958114624},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4242682456970215},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2726001739501953}],"concepts":[{"id":"https://openalex.org/C183115368","wikidata":"https://www.wikidata.org/wiki/Q856577","display_name":"Weighting","level":2,"score":0.8011595606803894},{"id":"https://openalex.org/C199833920","wikidata":"https://www.wikidata.org/wiki/Q612536","display_name":"Vector quantization","level":2,"score":0.7347614169120789},{"id":"https://openalex.org/C33676613","wikidata":"https://www.wikidata.org/wiki/Q13415176","display_name":"Dimension (graph theory)","level":2,"score":0.6181692481040955},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6071703433990479},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.577650785446167},{"id":"https://openalex.org/C28855332","wikidata":"https://www.wikidata.org/wiki/Q198099","display_name":"Quantization (signal processing)","level":2,"score":0.5313535332679749},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5256834030151367},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5142738223075867},{"id":"https://openalex.org/C108010975","wikidata":"https://www.wikidata.org/wiki/Q500094","display_name":"Pruning","level":2,"score":0.4935110807418823},{"id":"https://openalex.org/C40567965","wikidata":"https://www.wikidata.org/wiki/Q1820283","display_name":"Learning vector quantization","level":3,"score":0.476794958114624},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4242682456970215},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2726001739501953},{"id":"https://openalex.org/C6557445","wikidata":"https://www.wikidata.org/wiki/Q173113","display_name":"Agronomy","level":1,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.0},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1007/978-1-4471-0715-6_25","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-1-4471-0715-6_25","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Advances in Self-Organising Maps","raw_type":"book-chapter"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.16.6797","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.16.6797","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.informatik.uni-osnabrueck.de/barbara/papers/postscripts/grlvq_01_babsvill.ps.gz","raw_type":"text"},{"id":"pmh:oai:pub.librecat.org:1993739","is_oa":false,"landing_page_url":"https://pub.uni-bielefeld.de/record/1993739","pdf_url":null,"source":{"id":"https://openalex.org/S4306401671","display_name":"PUB \u2013 Publications at Bielefeld University (Bielefeld University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I20121455","host_organization_name":"Bielefeld University","host_organization_lineage":["https://openalex.org/I20121455"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Hammer B, Villmann T. Estimating Relevant Input Dimensions for Self-Organizing Algorithms. In: Allinson NM, Yin H, Allinson L, Slack J, eds. <em>Advances in Self-Organising Maps</em>. London: Springer;  2001: 173-180.","raw_type":"info:eu-repo/semantics/conferenceObject"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":37,"referenced_works":["https://openalex.org/W8041779","https://openalex.org/W21499160","https://openalex.org/W122169255","https://openalex.org/W1521585714","https://openalex.org/W1536929369","https://openalex.org/W1576043040","https://openalex.org/W1679913846","https://openalex.org/W1862455499","https://openalex.org/W1987801991","https://openalex.org/W1998902551","https://openalex.org/W2005340049","https://openalex.org/W2006493416","https://openalex.org/W2019502123","https://openalex.org/W2047870719","https://openalex.org/W2067380783","https://openalex.org/W2084812512","https://openalex.org/W2094510831","https://openalex.org/W2118943904","https://openalex.org/W2123749980","https://openalex.org/W2125134203","https://openalex.org/W2135508918","https://openalex.org/W2142248489","https://openalex.org/W2169833916","https://openalex.org/W2170966581","https://openalex.org/W2473217857","https://openalex.org/W2479245991","https://openalex.org/W2912554872","https://openalex.org/W3203276063","https://openalex.org/W4212774754","https://openalex.org/W4237222446","https://openalex.org/W6600871669","https://openalex.org/W6647172677","https://openalex.org/W6650037220","https://openalex.org/W6662681928","https://openalex.org/W6678524678","https://openalex.org/W6681025329","https://openalex.org/W6684546045"],"related_works":["https://openalex.org/W2100968651","https://openalex.org/W4243803532","https://openalex.org/W1530525041","https://openalex.org/W2352648934","https://openalex.org/W4230688072","https://openalex.org/W1915693853","https://openalex.org/W2378212145","https://openalex.org/W2798892016","https://openalex.org/W2202992072","https://openalex.org/W2100492357"],"abstract_inverted_index":null,"counts_by_year":[{"year":2020,"cited_by_count":1}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}