{"id":"https://openalex.org/W3090728831","doi":"https://doi.org/10.1109/ijcnn48605.2020.9207253","title":"Modified Grey Wolf Optimizer based Maximum Entropy Clustering Algorithm","display_name":"Modified Grey Wolf Optimizer based Maximum Entropy Clustering Algorithm","publication_year":2020,"publication_date":"2020-07-01","ids":{"openalex":"https://openalex.org/W3090728831","doi":"https://doi.org/10.1109/ijcnn48605.2020.9207253","mag":"3090728831"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn48605.2020.9207253","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn48605.2020.9207253","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 International Joint Conference on Neural Networks (IJCNN)","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/A5033196884","display_name":"Jia Cai","orcid":"https://orcid.org/0000-0001-8942-8668"},"institutions":[{"id":"https://openalex.org/I201459984","display_name":"Guangdong University Of Finances and Economics","ror":"https://ror.org/0459pv085","country_code":"CN","type":"education","lineage":["https://openalex.org/I201459984"]},{"id":"https://openalex.org/I4210149618","display_name":"Guangdong University of Finance","ror":"https://ror.org/04grzdh47","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210149618"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jia Cai","raw_affiliation_strings":["School of Statistics and Mathematics, Guangdong University of Finance & Economics, Guangzhou, P. R. China"],"affiliations":[{"raw_affiliation_string":"School of Statistics and Mathematics, Guangdong University of Finance & Economics, Guangzhou, P. R. China","institution_ids":["https://openalex.org/I201459984","https://openalex.org/I4210149618"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5079050408","display_name":"Guanglong Xu","orcid":"https://orcid.org/0000-0002-5367-7918"},"institutions":[{"id":"https://openalex.org/I4210149618","display_name":"Guangdong University of Finance","ror":"https://ror.org/04grzdh47","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210149618"]},{"id":"https://openalex.org/I201459984","display_name":"Guangdong University Of Finances and Economics","ror":"https://ror.org/0459pv085","country_code":"CN","type":"education","lineage":["https://openalex.org/I201459984"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guanglong Xu","raw_affiliation_strings":["School of Statistics and Mathematics, Guangdong University of Finance & Economics, Guangzhou, P. R. China"],"affiliations":[{"raw_affiliation_string":"School of Statistics and Mathematics, Guangdong University of Finance & Economics, Guangzhou, P. R. China","institution_ids":["https://openalex.org/I201459984","https://openalex.org/I4210149618"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5018923326","display_name":"Wenwen Ye","orcid":null},"institutions":[{"id":"https://openalex.org/I183816158","display_name":"Zhaoqing University","ror":"https://ror.org/025n5kj18","country_code":"CN","type":"education","lineage":["https://openalex.org/I183816158"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenwen Ye","raw_affiliation_strings":["School of Statistics and Mathematics, Zhaoqing University, Zhaoqing, P. R. China"],"affiliations":[{"raw_affiliation_string":"School of Statistics and Mathematics, Zhaoqing University, Zhaoqing, P. R. China","institution_ids":["https://openalex.org/I183816158"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5033196884"],"corresponding_institution_ids":["https://openalex.org/I201459984","https://openalex.org/I4210149618"],"apc_list":null,"apc_paid":null,"fwci":0.1326,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.55023163,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":93},"biblio":{"volume":"86","issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10100","display_name":"Metaheuristic Optimization Algorithms Research","score":0.996399998664856,"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/T10100","display_name":"Metaheuristic Optimization Algorithms Research","score":0.996399998664856,"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/T13717","display_name":"Advanced Algorithms and Applications","score":0.9951000213623047,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems Engineering"},"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/T10637","display_name":"Advanced Clustering Algorithms Research","score":0.9937000274658203,"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":0.7453965544700623},{"id":"https://openalex.org/keywords/entropy","display_name":"Entropy (arrow of time)","score":0.6022774577140808},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.5901113152503967},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5425750017166138},{"id":"https://openalex.org/keywords/principle-of-maximum-entropy","display_name":"Principle of maximum entropy","score":0.4731650948524475},{"id":"https://openalex.org/keywords/convergence","display_name":"Convergence (economics)","score":0.45504629611968994},{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"Fuzzy logic","score":0.44890186190605164},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4446205794811249},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.3810495138168335},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.35695087909698486},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3134351968765259}],"concepts":[{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.7453965544700623},{"id":"https://openalex.org/C106301342","wikidata":"https://www.wikidata.org/wiki/Q4117933","display_name":"Entropy (arrow of time)","level":2,"score":0.6022774577140808},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.5901113152503967},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5425750017166138},{"id":"https://openalex.org/C9679016","wikidata":"https://www.wikidata.org/wiki/Q1417473","display_name":"Principle of maximum entropy","level":2,"score":0.4731650948524475},{"id":"https://openalex.org/C2777303404","wikidata":"https://www.wikidata.org/wiki/Q759757","display_name":"Convergence (economics)","level":2,"score":0.45504629611968994},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.44890186190605164},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4446205794811249},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.3810495138168335},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.35695087909698486},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3134351968765259},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C50522688","wikidata":"https://www.wikidata.org/wiki/Q189833","display_name":"Economic growth","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ijcnn48605.2020.9207253","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn48605.2020.9207253","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Reduced inequalities","score":0.5699999928474426,"id":"https://metadata.un.org/sdg/10"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":53,"referenced_works":["https://openalex.org/W46066624","https://openalex.org/W1444952417","https://openalex.org/W1535723536","https://openalex.org/W1595159159","https://openalex.org/W1607022282","https://openalex.org/W1981166908","https://openalex.org/W1984762043","https://openalex.org/W1995450389","https://openalex.org/W1997600725","https://openalex.org/W2000621750","https://openalex.org/W2001979953","https://openalex.org/W2006694777","https://openalex.org/W2034855704","https://openalex.org/W2038878582","https://openalex.org/W2039595530","https://openalex.org/W2041629655","https://openalex.org/W2042057954","https://openalex.org/W2056811412","https://openalex.org/W2061438946","https://openalex.org/W2065401134","https://openalex.org/W2072955302","https://openalex.org/W2083620785","https://openalex.org/W2084078358","https://openalex.org/W2098494981","https://openalex.org/W2108028245","https://openalex.org/W2130716692","https://openalex.org/W2138537392","https://openalex.org/W2146020243","https://openalex.org/W2150593711","https://openalex.org/W2152195021","https://openalex.org/W2168081761","https://openalex.org/W2171211995","https://openalex.org/W2171246116","https://openalex.org/W2196983891","https://openalex.org/W2324911657","https://openalex.org/W2345827752","https://openalex.org/W2416417888","https://openalex.org/W2512048131","https://openalex.org/W2543580944","https://openalex.org/W2570741522","https://openalex.org/W2585392941","https://openalex.org/W2610544564","https://openalex.org/W2738900493","https://openalex.org/W2765139338","https://openalex.org/W2770073247","https://openalex.org/W2778726590","https://openalex.org/W2791288608","https://openalex.org/W2791899797","https://openalex.org/W2900503810","https://openalex.org/W2904250082","https://openalex.org/W4246729886","https://openalex.org/W4248896535","https://openalex.org/W4250503569"],"related_works":["https://openalex.org/W2378211422","https://openalex.org/W4321353415","https://openalex.org/W2745001401","https://openalex.org/W2130974462","https://openalex.org/W2028665553","https://openalex.org/W2086519370","https://openalex.org/W972276598","https://openalex.org/W3041490575","https://openalex.org/W2970690932","https://openalex.org/W2110715801"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"we":[3,87],"propose":[4],"a":[5],"new":[6],"maximum":[7,92],"entropy":[8,93],"clustering":[9,96],"algorithm":[10],"by":[11],"modified":[12,89],"grey":[13,45],"wolf":[14],"optimizer":[15],"(GWO),":[16],"which":[17,30,39],"modify":[18],"the":[19,41,52,62,69,81,104,110],"traditional":[20],"GWO":[21,64,90],"from":[22],"twofold:":[23],"First,":[24],"nonlinear":[25],"decay":[26],"factor":[27],"is":[28],"constructed,":[29],"leads":[31],"to":[32,51,91],"flexible":[33],"refined":[34],"search;":[35],"Second,":[36],"proportional":[37],"weights,":[38],"render":[40],"positions":[42],"of":[43,55,83,109],"distinct":[44],"wolves,":[46],"are":[47],"adjusted":[48],"adaptively":[49],"according":[50],"social":[53],"hierarchy":[54],"them.":[56],"Based":[57],"on":[58,76,99],"these":[59],"two":[60],"modifications,":[61],"rectified":[63],"could":[65],"greatly":[66],"improve":[67],"both":[68],"accuracy":[70],"and":[71,107],"convergence":[72],"rate.":[73],"Experimental":[74],"results":[75],"12":[77],"benchmark":[78],"functions":[79],"demonstrate":[80],"effectiveness":[82],"those":[84],"modifications.":[85],"Furthermore,":[86],"utilize":[88],"based":[94],"fuzzy":[95],"problems.":[97],"Experiments":[98],"5":[100],"real":[101],"datasets":[102],"indicate":[103],"high":[105],"performance":[106],"efficiency":[108],"proposed":[111],"approach.":[112]},"counts_by_year":[{"year":2021,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}