{"id":"https://openalex.org/W2111270339","doi":"https://doi.org/10.1109/fuzzy.2008.4630456","title":"Training data selection based on fuzzy c-means","display_name":"Training data selection based on fuzzy c-means","publication_year":2008,"publication_date":"2008-06-01","ids":{"openalex":"https://openalex.org/W2111270339","doi":"https://doi.org/10.1109/fuzzy.2008.4630456","mag":"2111270339"},"language":"en","primary_location":{"id":"doi:10.1109/fuzzy.2008.4630456","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fuzzy.2008.4630456","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2008 IEEE International Conference on Fuzzy Systems (IEEE World Congress on Computational Intelligence)","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/A5003852858","display_name":"Donghai Guan","orcid":"https://orcid.org/0000-0002-8448-9020"},"institutions":[{"id":"https://openalex.org/I35928602","display_name":"Kyung Hee University","ror":"https://ror.org/01zqcg218","country_code":"KR","type":"education","lineage":["https://openalex.org/I35928602"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"Donghai Guan","raw_affiliation_strings":["Computer Engineering Department, Kyung Hee University, Korea","[Dept. of Comput. Eng., Kyung Hee Univ., Seoul]"],"affiliations":[{"raw_affiliation_string":"Computer Engineering Department, Kyung Hee University, Korea","institution_ids":["https://openalex.org/I35928602"]},{"raw_affiliation_string":"[Dept. of Comput. Eng., Kyung Hee Univ., Seoul]","institution_ids":["https://openalex.org/I35928602"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100530377","display_name":"Weiwei Yuan","orcid":null},"institutions":[{"id":"https://openalex.org/I35928602","display_name":"Kyung Hee University","ror":"https://ror.org/01zqcg218","country_code":"KR","type":"education","lineage":["https://openalex.org/I35928602"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Weiwei Yuan","raw_affiliation_strings":["Computer Engineering Department, Kyung Hee University, Korea","[Dept. of Comput. Eng., Kyung Hee Univ., Seoul]"],"affiliations":[{"raw_affiliation_string":"Computer Engineering Department, Kyung Hee University, Korea","institution_ids":["https://openalex.org/I35928602"]},{"raw_affiliation_string":"[Dept. of Comput. Eng., Kyung Hee Univ., Seoul]","institution_ids":["https://openalex.org/I35928602"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5039165136","display_name":"Young-Koo Lee","orcid":"https://orcid.org/0000-0003-2314-5395"},"institutions":[{"id":"https://openalex.org/I35928602","display_name":"Kyung Hee University","ror":"https://ror.org/01zqcg218","country_code":"KR","type":"education","lineage":["https://openalex.org/I35928602"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Young-Koo Lee","raw_affiliation_strings":["Computer Engineering Department, Kyung Hee University, Korea","[Dept. of Comput. Eng., Kyung Hee Univ., Seoul]"],"affiliations":[{"raw_affiliation_string":"Computer Engineering Department, Kyung Hee University, Korea","institution_ids":["https://openalex.org/I35928602"]},{"raw_affiliation_string":"[Dept. of Comput. Eng., Kyung Hee Univ., Seoul]","institution_ids":["https://openalex.org/I35928602"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101882040","display_name":"Sungyoung Lee","orcid":"https://orcid.org/0000-0002-5962-1587"},"institutions":[{"id":"https://openalex.org/I35928602","display_name":"Kyung Hee University","ror":"https://ror.org/01zqcg218","country_code":"KR","type":"education","lineage":["https://openalex.org/I35928602"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Sungyoung Lee","raw_affiliation_strings":["Computer Engineering Department, Kyung Hee University, Korea","[Dept. of Comput. Eng., Kyung Hee Univ., Seoul]"],"affiliations":[{"raw_affiliation_string":"Computer Engineering Department, Kyung Hee University, Korea","institution_ids":["https://openalex.org/I35928602"]},{"raw_affiliation_string":"[Dept. of Comput. Eng., Kyung Hee Univ., Seoul]","institution_ids":["https://openalex.org/I35928602"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5003852858"],"corresponding_institution_ids":["https://openalex.org/I35928602"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.09288126,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"761","last_page":"765"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12072","display_name":"Machine Learning and Algorithms","score":0.9980000257492065,"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"}},"topics":[{"id":"https://openalex.org/T12072","display_name":"Machine Learning and Algorithms","score":0.9980000257492065,"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/T10057","display_name":"Face and Expression Recognition","score":0.9890999794006348,"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/T11550","display_name":"Text and Document Classification Technologies","score":0.9876999855041504,"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/bin","display_name":"Bin","score":0.8399826288223267},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.8102599382400513},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6829395890235901},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5837202072143555},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5677956938743591},{"id":"https://openalex.org/keywords/training-set","display_name":"Training set","score":0.53183913230896},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5062946081161499},{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"Fuzzy logic","score":0.4970152676105499},{"id":"https://openalex.org/keywords/data-set","display_name":"Data set","score":0.49526873230934143},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.47427281737327576},{"id":"https://openalex.org/keywords/cluster","display_name":"Cluster (spacecraft)","score":0.46132487058639526},{"id":"https://openalex.org/keywords/fuzzy-set","display_name":"Fuzzy set","score":0.4101749658584595},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3213566541671753},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.10736715793609619}],"concepts":[{"id":"https://openalex.org/C156273044","wikidata":"https://www.wikidata.org/wiki/Q4913766","display_name":"Bin","level":2,"score":0.8399826288223267},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.8102599382400513},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6829395890235901},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5837202072143555},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5677956938743591},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.53183913230896},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5062946081161499},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.4970152676105499},{"id":"https://openalex.org/C58489278","wikidata":"https://www.wikidata.org/wiki/Q1172284","display_name":"Data set","level":2,"score":0.49526873230934143},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.47427281737327576},{"id":"https://openalex.org/C164866538","wikidata":"https://www.wikidata.org/wiki/Q367351","display_name":"Cluster (spacecraft)","level":2,"score":0.46132487058639526},{"id":"https://openalex.org/C42011625","wikidata":"https://www.wikidata.org/wiki/Q1055058","display_name":"Fuzzy set","level":3,"score":0.4101749658584595},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3213566541671753},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.10736715793609619},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/fuzzy.2008.4630456","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fuzzy.2008.4630456","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2008 IEEE International Conference on Fuzzy Systems (IEEE World Congress on Computational Intelligence)","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":24,"referenced_works":["https://openalex.org/W105263016","https://openalex.org/W1483816357","https://openalex.org/W1513874326","https://openalex.org/W1514940655","https://openalex.org/W1553262910","https://openalex.org/W1579599382","https://openalex.org/W2019950953","https://openalex.org/W2085989833","https://openalex.org/W2107502455","https://openalex.org/W2113076747","https://openalex.org/W2115305054","https://openalex.org/W2148924730","https://openalex.org/W2151023586","https://openalex.org/W2168822971","https://openalex.org/W2171332245","https://openalex.org/W2426031434","https://openalex.org/W2914515968","https://openalex.org/W2951911250","https://openalex.org/W4230030242","https://openalex.org/W4230588984","https://openalex.org/W4285719527","https://openalex.org/W6628964739","https://openalex.org/W6685002949","https://openalex.org/W6685230794"],"related_works":["https://openalex.org/W2107701374","https://openalex.org/W1616588898","https://openalex.org/W2786391746","https://openalex.org/W2991483587","https://openalex.org/W4381430104","https://openalex.org/W2995102745","https://openalex.org/W4226059458","https://openalex.org/W2914559142","https://openalex.org/W1990237101","https://openalex.org/W3196471634"],"abstract_inverted_index":{"The":[0,104],"performance":[1,128],"of":[2,46,106,114,129],"supervised":[3],"learning":[4,130],"could":[5,124],"be":[6],"improved":[7],"when":[8],"valuable":[9],"data":[10,21,42,59,71,88,97,116],"are":[11,51,65,75,89,108],"selected":[12,52,98],"for":[13,53,83,102],"training.":[14,54,103],"In":[15,38,55,67],"this":[16],"paper,":[17],"we":[18],"proposed":[19],"three":[20],"selection":[22,34,123],"methods":[23],"based":[24,77],"on":[25,78,111],"fuzzy":[26],"C-means":[27],"algorithm.":[28],"They":[29],"are:":[30],"center-based":[31,39],"selection,":[32,40,57,69],"border-based":[33,56],"and":[35],"bin-based":[36,68,122],"selection.":[37],"the":[41,58,61,70,86,127],"with":[43],"high":[44],"degree":[45],"membership":[47,80],"in":[48,72],"each":[49,73,84,100],"cluster":[50,74],"around":[60],"borders":[62],"between":[63],"clusters":[64],"selected.":[66],"sorted":[76,87],"their":[79],"degrees.":[81],"Then":[82],"cluster,":[85],"divided":[90],"into":[91],"bins.":[92],"Finally,":[93],"there":[94],"is":[95],"one":[96],"from":[99],"bin":[101],"effects":[105],"them":[107],"empirically":[109],"studied":[110],"a":[112],"set":[113],"UCI":[115],"sets.":[117],"Experimental":[118],"results":[119],"indicate":[120],"that":[121],"effectively":[125],"improve":[126],"compared":[131],"to":[132],"randomly":[133],"selecting":[134],"training":[135],"samples.":[136]},"counts_by_year":[{"year":2014,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
