{"id":"https://openalex.org/W2011476827","doi":"https://doi.org/10.1145/1569901.1570058","title":"Unsupervised feature weighting with multi niche crowding genetic algorithms","display_name":"Unsupervised feature weighting with multi niche crowding genetic algorithms","publication_year":2009,"publication_date":"2009-07-08","ids":{"openalex":"https://openalex.org/W2011476827","doi":"https://doi.org/10.1145/1569901.1570058","mag":"2011476827"},"language":"en","primary_location":{"id":"doi:10.1145/1569901.1570058","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1569901.1570058","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 11th Annual conference on Genetic and evolutionary computation","raw_type":"proceedings-article"},"type":"article","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/A5088197630","display_name":"Mihaela Breaban","orcid":"https://orcid.org/0000-0003-4468-3889"},"institutions":[{"id":"https://openalex.org/I138164181","display_name":"Alexandru Ioan Cuza University","ror":"https://ror.org/022kvet57","country_code":"RO","type":"education","lineage":["https://openalex.org/I138164181"]}],"countries":["RO"],"is_corresponding":true,"raw_author_name":"Mihaela Elena Breaban","raw_affiliation_strings":["Alexandru Ioan Cuza University, Iasi, Romania"],"affiliations":[{"raw_affiliation_string":"Alexandru Ioan Cuza University, Iasi, Romania","institution_ids":["https://openalex.org/I138164181"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5091074519","display_name":"Henri Luchian","orcid":null},"institutions":[{"id":"https://openalex.org/I138164181","display_name":"Alexandru Ioan Cuza University","ror":"https://ror.org/022kvet57","country_code":"RO","type":"education","lineage":["https://openalex.org/I138164181"]}],"countries":["RO"],"is_corresponding":false,"raw_author_name":"Henri Luchian","raw_affiliation_strings":["Alexandru Ioan Cuza University, Iasi, Romania"],"affiliations":[{"raw_affiliation_string":"Alexandru Ioan Cuza University, Iasi, Romania","institution_ids":["https://openalex.org/I138164181"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5088197630"],"corresponding_institution_ids":["https://openalex.org/I138164181"],"apc_list":null,"apc_paid":null,"fwci":0.6471,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.69657311,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"1163","last_page":"1170"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10057","display_name":"Face and Expression Recognition","score":0.9919999837875366,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10057","display_name":"Face and Expression Recognition","score":0.9919999837875366,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T10637","display_name":"Advanced Clustering Algorithms Research","score":0.9854999780654907,"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"}},{"id":"https://openalex.org/T10100","display_name":"Metaheuristic Optimization Algorithms Research","score":0.9847999811172485,"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/cluster-analysis","display_name":"Cluster analysis","score":0.7158022522926331},{"id":"https://openalex.org/keywords/weighting","display_name":"Weighting","score":0.7067769765853882},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6860924363136292},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.597766101360321},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5833744406700134},{"id":"https://openalex.org/keywords/normalization","display_name":"Normalization (sociology)","score":0.5687360763549805},{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.5403739213943481},{"id":"https://openalex.org/keywords/feature-vector","display_name":"Feature vector","score":0.4943850040435791},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.44526615738868713},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.44230031967163086},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4405134618282318},{"id":"https://openalex.org/keywords/linear-subspace","display_name":"Linear subspace","score":0.4362587034702301},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.36499881744384766},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.22413954138755798}],"concepts":[{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.7158022522926331},{"id":"https://openalex.org/C183115368","wikidata":"https://www.wikidata.org/wiki/Q856577","display_name":"Weighting","level":2,"score":0.7067769765853882},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6860924363136292},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.597766101360321},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5833744406700134},{"id":"https://openalex.org/C136886441","wikidata":"https://www.wikidata.org/wiki/Q926129","display_name":"Normalization (sociology)","level":2,"score":0.5687360763549805},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.5403739213943481},{"id":"https://openalex.org/C83665646","wikidata":"https://www.wikidata.org/wiki/Q42139305","display_name":"Feature vector","level":2,"score":0.4943850040435791},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.44526615738868713},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.44230031967163086},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4405134618282318},{"id":"https://openalex.org/C12362212","wikidata":"https://www.wikidata.org/wiki/Q728435","display_name":"Linear subspace","level":2,"score":0.4362587034702301},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.36499881744384766},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.22413954138755798},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"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/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C19165224","wikidata":"https://www.wikidata.org/wiki/Q23404","display_name":"Anthropology","level":1,"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":1,"locations":[{"id":"doi:10.1145/1569901.1570058","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1569901.1570058","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 11th Annual conference on Genetic and evolutionary computation","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W1497779808","https://openalex.org/W1570713908","https://openalex.org/W1890873505","https://openalex.org/W1959178355","https://openalex.org/W1974090011","https://openalex.org/W2001281158","https://openalex.org/W2099322651","https://openalex.org/W2114390898","https://openalex.org/W2140703956","https://openalex.org/W2144419338","https://openalex.org/W2159365380","https://openalex.org/W2171887548","https://openalex.org/W2885041036","https://openalex.org/W2914782308","https://openalex.org/W4248839592"],"related_works":["https://openalex.org/W2180954594","https://openalex.org/W2052835778","https://openalex.org/W2391321755","https://openalex.org/W2049003611","https://openalex.org/W2127804977","https://openalex.org/W2108418243","https://openalex.org/W164103134","https://openalex.org/W2787352659","https://openalex.org/W1970611213","https://openalex.org/W1612029326"],"abstract_inverted_index":{"This":[0],"paper":[1],"is":[2,36,46,56,83,97],"concerned":[3],"with":[4,60,85,99,120],"feature":[5,18,51],"weighting/selection":[6],"in":[7,76,118],"the":[8,17,26,41,61,65,70,86,95,100],"context":[9],"of":[10,16,25,67,72,88,102,110,116],"unsupervised":[11,78,91],"clustering.":[12,124],"Since":[13],"different":[14,23],"subspaces":[15],"space":[19],"may":[20],"lead":[21],"to":[22,32,58,123],"partitions":[24],"data":[27],"set,":[28],"an":[29,77],"efficient":[30],"algorithm":[31],"tackle":[33],"multi-modal":[34],"environments":[35],"needed.":[37],"In":[38],"this":[39],"context,":[40],"Multi-Niche":[42],"Crowding":[43],"Genetic":[44],"Algorithm":[45],"used":[47],"for":[48],"searching":[49],"relevant":[50],"subsets.":[52],"The":[53,80,105],"proposed":[54],"method":[55,106],"designed":[57],"deal":[59],"inherent":[62],"biases":[63],"regarding":[64],"number":[66,71],"clusters":[68],"and":[69],"features":[73,117],"that":[74],"appear":[75],"framework.":[79],"first":[81],"one":[82],"eliminated":[84],"aid":[87,101],"a":[89,108,114],"new":[90],"clustering":[92],"criterion,":[93],"while":[94],"second":[96],"tackled":[98],"cross-projection":[103],"normalization.":[104],"delivers":[107],"vector":[109],"weights":[111],"which":[112],"offers":[113],"ranking":[115],"accordance":[119],"their":[121],"relevance":[122]},"counts_by_year":[{"year":2015,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}