{"id":"https://openalex.org/W3104142918","doi":"https://doi.org/10.1080/08839514.2020.1842109","title":"A Modified Grey Wolf Optimizer Based Data Clustering Algorithm","display_name":"A Modified Grey Wolf Optimizer Based Data Clustering Algorithm","publication_year":2020,"publication_date":"2020-11-07","ids":{"openalex":"https://openalex.org/W3104142918","doi":"https://doi.org/10.1080/08839514.2020.1842109","mag":"3104142918"},"language":"en","primary_location":{"id":"doi:10.1080/08839514.2020.1842109","is_oa":false,"landing_page_url":"https://doi.org/10.1080/08839514.2020.1842109","pdf_url":null,"source":{"id":"https://openalex.org/S125501549","display_name":"Applied Artificial Intelligence","issn_l":"0883-9514","issn":["0883-9514","1087-6545"],"is_oa":false,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Applied Artificial Intelligence","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"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/A5083206987","display_name":"Ramin Ahmadi","orcid":null},"institutions":[{"id":"https://openalex.org/I4210098966","display_name":"Islamic Azad University Rasht Branch","ror":"https://ror.org/0151gh112","country_code":"IR","type":"education","lineage":["https://openalex.org/I110525433","https://openalex.org/I4210098966"]}],"countries":["IR"],"is_corresponding":false,"raw_author_name":"Ramin Ahmadi","raw_affiliation_strings":["Department of Computer Engineering, Rasht branch, Islamic Azad University, Rasht, Iran"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Engineering, Rasht branch, Islamic Azad University, Rasht, Iran","institution_ids":["https://openalex.org/I4210098966"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5036138976","display_name":"Gholamhossein Ekbatanifard","orcid":"https://orcid.org/0000-0002-4575-5728"},"institutions":[{"id":"https://openalex.org/I33162209","display_name":"Islamic Azad University, Lahijan Branch","ror":"https://ror.org/03dhqyc75","country_code":"IR","type":"education","lineage":["https://openalex.org/I110525433","https://openalex.org/I33162209"]}],"countries":["IR"],"is_corresponding":true,"raw_author_name":"Gholamhossein Ekbatanifard","raw_affiliation_strings":["Department of Computer Engineering, Lahijan branch, Islamic Azad University, Lahijan, Iran"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Engineering, Lahijan branch, Islamic Azad University, Lahijan, Iran","institution_ids":["https://openalex.org/I33162209"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5066314516","display_name":"Peyman Bayat","orcid":"https://orcid.org/0000-0003-2291-1369"},"institutions":[{"id":"https://openalex.org/I4210098966","display_name":"Islamic Azad University Rasht Branch","ror":"https://ror.org/0151gh112","country_code":"IR","type":"education","lineage":["https://openalex.org/I110525433","https://openalex.org/I4210098966"]}],"countries":["IR"],"is_corresponding":false,"raw_author_name":"Peyman Bayat","raw_affiliation_strings":["Department of Computer Engineering, Rasht branch, Islamic Azad University, Rasht, Iran"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Engineering, Rasht branch, Islamic Azad University, Rasht, Iran","institution_ids":["https://openalex.org/I4210098966"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5036138976"],"corresponding_institution_ids":["https://openalex.org/I33162209"],"apc_list":{"value":2195,"currency":"USD","value_usd":2195},"apc_paid":null,"fwci":4.8965,"has_fulltext":false,"cited_by_count":54,"citation_normalized_percentile":{"value":0.96036413,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":100},"biblio":{"volume":"35","issue":"1","first_page":"63","last_page":"79"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10100","display_name":"Metaheuristic Optimization Algorithms Research","score":0.9998000264167786,"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":0.9998000264167786,"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/T10637","display_name":"Advanced Clustering Algorithms Research","score":0.9991000294685364,"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/T12761","display_name":"Data Stream Mining Techniques","score":0.9954000115394592,"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/computer-science","display_name":"Computer science","score":0.8302394151687622},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.8287134170532227},{"id":"https://openalex.org/keywords/canopy-clustering-algorithm","display_name":"Canopy clustering algorithm","score":0.5317232608795166},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.48458802700042725},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.47453272342681885},{"id":"https://openalex.org/keywords/data-stream-clustering","display_name":"Data stream clustering","score":0.4656520485877991},{"id":"https://openalex.org/keywords/cure-data-clustering-algorithm","display_name":"CURE data clustering algorithm","score":0.4647466540336609},{"id":"https://openalex.org/keywords/correlation-clustering","display_name":"Correlation clustering","score":0.44763147830963135},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4473138749599457},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3535042405128479},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.33388978242874146}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8302394151687622},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.8287134170532227},{"id":"https://openalex.org/C104047586","wikidata":"https://www.wikidata.org/wiki/Q5033439","display_name":"Canopy clustering algorithm","level":4,"score":0.5317232608795166},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.48458802700042725},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.47453272342681885},{"id":"https://openalex.org/C193143536","wikidata":"https://www.wikidata.org/wiki/Q5227360","display_name":"Data stream clustering","level":5,"score":0.4656520485877991},{"id":"https://openalex.org/C33704608","wikidata":"https://www.wikidata.org/wiki/Q5014717","display_name":"CURE data clustering algorithm","level":4,"score":0.4647466540336609},{"id":"https://openalex.org/C94641424","wikidata":"https://www.wikidata.org/wiki/Q5172845","display_name":"Correlation clustering","level":3,"score":0.44763147830963135},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4473138749599457},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3535042405128479},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.33388978242874146}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1080/08839514.2020.1842109","is_oa":false,"landing_page_url":"https://doi.org/10.1080/08839514.2020.1842109","pdf_url":null,"source":{"id":"https://openalex.org/S125501549","display_name":"Applied Artificial Intelligence","issn_l":"0883-9514","issn":["0883-9514","1087-6545"],"is_oa":false,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Applied Artificial Intelligence","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:20012da4dd4f43cf9d61da340a20f4c1","is_oa":false,"landing_page_url":"https://doaj.org/article/20012da4dd4f43cf9d61da340a20f4c1","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Applied Artificial Intelligence, Vol 35, Iss 1, Pp 63-79 (2021)","raw_type":"article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":36,"referenced_works":["https://openalex.org/W14070459","https://openalex.org/W79970639","https://openalex.org/W1523741643","https://openalex.org/W1977556410","https://openalex.org/W1978695274","https://openalex.org/W1980062751","https://openalex.org/W1983908352","https://openalex.org/W1991359419","https://openalex.org/W1992419399","https://openalex.org/W1993046026","https://openalex.org/W2004011155","https://openalex.org/W2019617030","https://openalex.org/W2026107899","https://openalex.org/W2040628945","https://openalex.org/W2061438946","https://openalex.org/W2072955302","https://openalex.org/W2076408892","https://openalex.org/W2084812512","https://openalex.org/W2088633020","https://openalex.org/W2107903523","https://openalex.org/W2143560894","https://openalex.org/W2158184062","https://openalex.org/W2158703410","https://openalex.org/W2185533914","https://openalex.org/W2290883490","https://openalex.org/W2501069295","https://openalex.org/W2559293183","https://openalex.org/W2754918195","https://openalex.org/W2768725945","https://openalex.org/W2784246951","https://openalex.org/W2791954513","https://openalex.org/W2963035753","https://openalex.org/W3145543370","https://openalex.org/W4210580908","https://openalex.org/W4298154464","https://openalex.org/W4300106150"],"related_works":["https://openalex.org/W3144143113","https://openalex.org/W3174322327","https://openalex.org/W3022637481","https://openalex.org/W2371010743","https://openalex.org/W3120229345","https://openalex.org/W3088133960","https://openalex.org/W2170078080","https://openalex.org/W2393707058","https://openalex.org/W1999117613","https://openalex.org/W2393816671"],"abstract_inverted_index":{"Data":[0],"clustering":[1,25,108,132],"is":[2,26,37,103,142,156],"an":[3,149],"important":[4],"data":[5,8,24,112,131],"analysis":[6],"and":[7,18,80,147],"mining":[9],"tool":[10],"in":[11,68,129],"many":[12],"fields":[13],"such":[14],"as":[15,86,88],"pattern":[16],"recognition":[17],"image":[19],"processing.":[20],"The":[21,97],"goal":[22],"of":[23,49,65,83,99,125,138,153],"to":[27,62,77,105],"optimally":[28],"organize":[29],"similar":[30],"objects":[31],"into":[32],"clusters.":[33],"Grey":[34],"wolf":[35,60],"optimizer":[36,61],"a":[38,57,74,89],"newly":[39],"introduced":[40],"optimization":[41],"algorithm":[42,85,102,128,141],"with":[43],"inspiration":[44],"from":[45,114],"the":[46,66,78,84,93,100,115,123,126,135,139,157],"social":[47],"behavior":[48],"gray":[50,59],"wolves.":[51],"In":[52],"this":[53],"work,":[54],"we":[55],"propose":[56],"modified":[58],"tackle":[63],"some":[64],"challenges":[67],"meta-heuristic":[69],"algorithms.":[70],"These":[71],"modifications":[72],"include":[73],"balanced":[75],"approach":[76],"exploration":[79],"exploitation":[81],"stages":[82],"well":[87],"local":[90],"search":[91],"around":[92],"best":[94],"solution":[95],"found.":[96],"performance":[98],"proposed":[101,127,140],"compared":[104],"seven":[106],"other":[107,145],"methods":[109],"on":[110],"nine":[111],"sets":[113],"UCI":[116],"machine":[117],"learning":[118],"laboratory.":[119],"Experimental":[120],"results":[121],"demonstrate":[122],"competence":[124],"solving":[130],"problems.":[133],"Overall,":[134],"intra-cluster":[136],"distance":[137],"lower":[143],"than":[144],"algorithms":[146],"gives":[148],"average":[150],"error":[151],"rate":[152],"11.22%":[154],"which":[155],"lowest":[158],"among":[159],"all.":[160]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":9},{"year":2023,"cited_by_count":12},{"year":2022,"cited_by_count":20},{"year":2021,"cited_by_count":4}],"updated_date":"2026-06-03T09:05:47.796612","created_date":"2025-10-10T00:00:00"}