{"id":"https://openalex.org/W2101649596","doi":"https://doi.org/10.1109/fuzzy.2009.5277214","title":"eCCV: A new fuzzy cluster validity measure for large relational bioinformatics datasets","display_name":"eCCV: A new fuzzy cluster validity measure for large relational bioinformatics datasets","publication_year":2009,"publication_date":"2009-08-01","ids":{"openalex":"https://openalex.org/W2101649596","doi":"https://doi.org/10.1109/fuzzy.2009.5277214","mag":"2101649596"},"language":"en","primary_location":{"id":"doi:10.1109/fuzzy.2009.5277214","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fuzzy.2009.5277214","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2009 IEEE International Conference on Fuzzy Systems","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/A5060329217","display_name":"Mihail Popescu","orcid":"https://orcid.org/0000-0002-6145-8096"},"institutions":[{"id":"https://openalex.org/I76835614","display_name":"University of Missouri","ror":"https://ror.org/02ymw8z06","country_code":"US","type":"education","lineage":["https://openalex.org/I76835614"]},{"id":"https://openalex.org/I2800649613","display_name":"University of Missouri Health System","ror":"https://ror.org/03yp8z857","country_code":"US","type":"healthcare","lineage":["https://openalex.org/I2800649613"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Mihail Popescu","raw_affiliation_strings":["Health Management and Medical Informatics Department, University of Missouri, Columbia, MO, USA"],"affiliations":[{"raw_affiliation_string":"Health Management and Medical Informatics Department, University of Missouri, Columbia, MO, USA","institution_ids":["https://openalex.org/I2800649613","https://openalex.org/I76835614"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5043324448","display_name":"James C. Bezdek","orcid":"https://orcid.org/0000-0003-3901-7021"},"institutions":[{"id":"https://openalex.org/I76835614","display_name":"University of Missouri","ror":"https://ror.org/02ymw8z06","country_code":"US","type":"education","lineage":["https://openalex.org/I76835614"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"James C. Bezdek","raw_affiliation_strings":["Electrical and Computer Engineering Department, University of Missouri, Columbia, MO, USA"],"affiliations":[{"raw_affiliation_string":"Electrical and Computer Engineering Department, University of Missouri, Columbia, MO, USA","institution_ids":["https://openalex.org/I76835614"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5018303984","display_name":"James M. Keller","orcid":"https://orcid.org/0000-0002-0306-7142"},"institutions":[{"id":"https://openalex.org/I76835614","display_name":"University of Missouri","ror":"https://ror.org/02ymw8z06","country_code":"US","type":"education","lineage":["https://openalex.org/I76835614"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"James M. Keller","raw_affiliation_strings":["Electrical and Computer Engineering Department, University of Missouri, Columbia, MO, USA"],"affiliations":[{"raw_affiliation_string":"Electrical and Computer Engineering Department, University of Missouri, Columbia, MO, USA","institution_ids":["https://openalex.org/I76835614"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5060329217"],"corresponding_institution_ids":["https://openalex.org/I2800649613","https://openalex.org/I76835614"],"apc_list":null,"apc_paid":null,"fwci":0.8724,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.80248126,"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":"1003","last_page":"1008"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10637","display_name":"Advanced Clustering Algorithms Research","score":0.9993000030517578,"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/T10637","display_name":"Advanced Clustering Algorithms Research","score":0.9993000030517578,"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/T10887","display_name":"Bioinformatics and Genomic Networks","score":0.9857000112533569,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T10885","display_name":"Gene expression and cancer classification","score":0.9847000241279602,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.6911971569061279},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.650245189666748},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5914119482040405},{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"Fuzzy logic","score":0.5478522181510925},{"id":"https://openalex.org/keywords/distance-matrix","display_name":"Distance matrix","score":0.5475961565971375},{"id":"https://openalex.org/keywords/euclidean-distance","display_name":"Euclidean distance","score":0.5307685732841492},{"id":"https://openalex.org/keywords/refseq","display_name":"RefSeq","score":0.5276581048965454},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5102982521057129},{"id":"https://openalex.org/keywords/measure","display_name":"Measure (data warehouse)","score":0.4965675473213196},{"id":"https://openalex.org/keywords/fuzzy-clustering","display_name":"Fuzzy clustering","score":0.47915762662887573},{"id":"https://openalex.org/keywords/speedup","display_name":"Speedup","score":0.47123846411705017},{"id":"https://openalex.org/keywords/sampling","display_name":"Sampling (signal processing)","score":0.4393918812274933},{"id":"https://openalex.org/keywords/relational-database","display_name":"Relational database","score":0.43800050020217896},{"id":"https://openalex.org/keywords/matrix","display_name":"Matrix (chemical analysis)","score":0.4231416583061218},{"id":"https://openalex.org/keywords/cluster","display_name":"Cluster (spacecraft)","score":0.4126623570919037},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.29573556780815125},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.28980982303619385},{"id":"https://openalex.org/keywords/genome","display_name":"Genome","score":0.27005627751350403},{"id":"https://openalex.org/keywords/gene","display_name":"Gene","score":0.15204954147338867},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.10128650069236755},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.0880073606967926}],"concepts":[{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.6911971569061279},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.650245189666748},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5914119482040405},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.5478522181510925},{"id":"https://openalex.org/C111208986","wikidata":"https://www.wikidata.org/wiki/Q901698","display_name":"Distance matrix","level":2,"score":0.5475961565971375},{"id":"https://openalex.org/C120174047","wikidata":"https://www.wikidata.org/wiki/Q847073","display_name":"Euclidean distance","level":2,"score":0.5307685732841492},{"id":"https://openalex.org/C151810110","wikidata":"https://www.wikidata.org/wiki/Q7307074","display_name":"RefSeq","level":4,"score":0.5276581048965454},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5102982521057129},{"id":"https://openalex.org/C2780009758","wikidata":"https://www.wikidata.org/wiki/Q6804172","display_name":"Measure (data warehouse)","level":2,"score":0.4965675473213196},{"id":"https://openalex.org/C17212007","wikidata":"https://www.wikidata.org/wiki/Q5511111","display_name":"Fuzzy clustering","level":3,"score":0.47915762662887573},{"id":"https://openalex.org/C68339613","wikidata":"https://www.wikidata.org/wiki/Q1549489","display_name":"Speedup","level":2,"score":0.47123846411705017},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.4393918812274933},{"id":"https://openalex.org/C5655090","wikidata":"https://www.wikidata.org/wiki/Q192588","display_name":"Relational database","level":2,"score":0.43800050020217896},{"id":"https://openalex.org/C106487976","wikidata":"https://www.wikidata.org/wiki/Q685816","display_name":"Matrix (chemical analysis)","level":2,"score":0.4231416583061218},{"id":"https://openalex.org/C164866538","wikidata":"https://www.wikidata.org/wiki/Q367351","display_name":"Cluster (spacecraft)","level":2,"score":0.4126623570919037},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.29573556780815125},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.28980982303619385},{"id":"https://openalex.org/C141231307","wikidata":"https://www.wikidata.org/wiki/Q7020","display_name":"Genome","level":3,"score":0.27005627751350403},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.15204954147338867},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.10128650069236755},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.0880073606967926},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.0},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/fuzzy.2009.5277214","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fuzzy.2009.5277214","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2009 IEEE International Conference on Fuzzy Systems","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":21,"referenced_works":["https://openalex.org/W18728948","https://openalex.org/W383694042","https://openalex.org/W1996510517","https://openalex.org/W1996747841","https://openalex.org/W2034986427","https://openalex.org/W2055043387","https://openalex.org/W2082757085","https://openalex.org/W2090582154","https://openalex.org/W2107903949","https://openalex.org/W2112082806","https://openalex.org/W2113076747","https://openalex.org/W2114320437","https://openalex.org/W2124166542","https://openalex.org/W2141885858","https://openalex.org/W2170590171","https://openalex.org/W2539182710","https://openalex.org/W4210623056","https://openalex.org/W4236236547","https://openalex.org/W4246274742","https://openalex.org/W6681765588","https://openalex.org/W6728856875"],"related_works":["https://openalex.org/W1605858995","https://openalex.org/W2908582041","https://openalex.org/W4294328694","https://openalex.org/W2977833894","https://openalex.org/W2908357282","https://openalex.org/W2119897186","https://openalex.org/W1997141628","https://openalex.org/W2348550256","https://openalex.org/W4366087900","https://openalex.org/W2577956156"],"abstract_inverted_index":{"The":[0,95,171],"existence":[1],"of":[2,32,57,85,88,104,147,152,160,163,167,194],"BLAST":[3],"sequence":[4],"comparison":[5],"algorithm":[6,75],"and":[7,189],"microarray":[8],"technology":[9],"are":[10],"among":[11],"the":[12,17,20,30,33,55,63,67,86,92,102,111,114,126,139,153,158,161,168,199],"reasons":[13],"that":[14,131],"make":[15],"bioinformatics":[16],"domain":[18],"with":[19],"most":[21],"abundant":[22],"large":[23,154,186,192],"relational":[24,73],"datasets.":[25],"For":[26],"example,":[27],"by":[28,43,157],"BLAST-ing":[29],"genes":[31,196],"human":[34,195],"genome":[35],"(around":[36],"30,000":[37,42,44],"genes)":[38],"we":[39,100,107,122,132],"obtain":[40],"a":[41,58,71,135,176,185,191],"distance":[45],"matrix.":[46],"This":[47],"matrix":[48,69,112,155],"can":[49,99],"not":[50],"be":[51],"currently":[52],"stored":[53],"in":[54,91,113,134],"memory":[56,115],"typical":[59],"desktop":[60],"PC.":[61],"In":[62],"same":[64],"time,":[65],"clustering":[66,74],"resulting":[68],"using":[70],"fuzzy":[72],"such":[76],"as":[77,143],"Non-Euclidean":[78],"Fuzzy":[79],"C-means":[80],"(NERFCM)":[81],"requires":[82],"prior":[83],"knowledge":[84],"number":[87,103,162],"clusters":[89,105],"existent":[90],"data":[93],"set.":[94],"question":[96],"is,":[97],"how":[98],"evaluate":[101],"if":[106],"can't":[108],"even":[109],"load":[110],"our":[116],"PC?":[117],"To":[118],"address":[119],"this":[120],"problem,":[121],"propose":[123],"to":[124],"extend":[125],"correlation":[127],"cluster":[128,164],"validity":[129,141],"(CCV)":[130],"introduced":[133],"previous":[136],"paper,":[137],"denoting":[138],"new":[140],"measure":[142],"eCCV.":[144],"eCCV":[145,182],"consists":[146],"two":[148],"steps:":[149],"first":[150],"sampling":[151,172],"followed":[156],"estimation":[159],"employing":[165],"CCV":[166],"sampled":[169],"data.":[170],"strategy":[173],"produces":[174],"also":[175],"significant":[177],"processing":[178],"speedup.":[179],"We":[180],"illustrate":[181],"properties":[183],"on":[184,190],"synthetic":[187],"dataset":[188],"subset":[193],"obtained":[197],"from":[198],"RefSeq":[200],"database.":[201]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2012,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
