{"id":"https://openalex.org/W3028461159","doi":"https://doi.org/10.1142/s1793962320500324","title":"Bat-Grey Wolf Optimizer and kernel mapping for automatic incremental clustering","display_name":"Bat-Grey Wolf Optimizer and kernel mapping for automatic incremental clustering","publication_year":2020,"publication_date":"2020-05-18","ids":{"openalex":"https://openalex.org/W3028461159","doi":"https://doi.org/10.1142/s1793962320500324","mag":"3028461159"},"language":"en","primary_location":{"id":"doi:10.1142/s1793962320500324","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s1793962320500324","pdf_url":null,"source":{"id":"https://openalex.org/S107361000","display_name":"Advances in Complex Systems","issn_l":"0219-5259","issn":["0219-5259","1793-6802","1793-9615","1793-9623"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Modeling, Simulation, and Scientific Computing","raw_type":"journal-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/A5027426257","display_name":"Ch. Vidyadhari","orcid":null},"institutions":[{"id":"https://openalex.org/I142809039","display_name":"Jawaharlal Nehru Technological University, Kakinada","ror":"https://ror.org/05s9t8c95","country_code":"IN","type":"education","lineage":["https://openalex.org/I142809039"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"C. Vidyadhari","raw_affiliation_strings":["Computer Science and Engineering Department, JNTUK, Kakinada, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Computer Science and Engineering Department, JNTUK, Kakinada, India","institution_ids":["https://openalex.org/I142809039"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5026670679","display_name":"N. Sandhya","orcid":"https://orcid.org/0000-0003-4962-2647"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"N. Sandhya","raw_affiliation_strings":["Computer Science and Engineering Department, VNRVJIET, Hyderabad, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Computer Science and Engineering Department, VNRVJIET, Hyderabad, India","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5107863294","display_name":"P. Premchand","orcid":null},"institutions":[{"id":"https://openalex.org/I8975392","display_name":"Osmania University","ror":"https://ror.org/030sjb889","country_code":"IN","type":"education","lineage":["https://openalex.org/I8975392"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"P. Premchand","raw_affiliation_strings":["Computer Science and Engineering Department, University College of Engineering, Osmania University, Hyderabad, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Computer Science and Engineering Department, University College of Engineering, Osmania University, Hyderabad, India","institution_ids":["https://openalex.org/I8975392"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.1304,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.52823963,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"11","issue":"04","first_page":"2050032","last_page":"2050032"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10637","display_name":"Advanced Clustering Algorithms Research","score":0.9887999892234802,"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":0.9887999892234802,"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":0.984000027179718,"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/T10100","display_name":"Metaheuristic Optimization Algorithms Research","score":0.9800999760627747,"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/jaccard-index","display_name":"Jaccard index","score":0.7959214448928833},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7587625980377197},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.7110334634780884},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5984822511672974},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.49073612689971924},{"id":"https://openalex.org/keywords/document-clustering","display_name":"Document clustering","score":0.47176650166511536},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.46277153491973877},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4422544538974762},{"id":"https://openalex.org/keywords/fuzzy-clustering","display_name":"Fuzzy clustering","score":0.4375937283039093}],"concepts":[{"id":"https://openalex.org/C203519979","wikidata":"https://www.wikidata.org/wiki/Q865360","display_name":"Jaccard index","level":3,"score":0.7959214448928833},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7587625980377197},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.7110334634780884},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5984822511672974},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.49073612689971924},{"id":"https://openalex.org/C177937566","wikidata":"https://www.wikidata.org/wiki/Q4223102","display_name":"Document clustering","level":3,"score":0.47176650166511536},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.46277153491973877},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4422544538974762},{"id":"https://openalex.org/C17212007","wikidata":"https://www.wikidata.org/wiki/Q5511111","display_name":"Fuzzy clustering","level":3,"score":0.4375937283039093}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1142/s1793962320500324","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s1793962320500324","pdf_url":null,"source":{"id":"https://openalex.org/S107361000","display_name":"Advances in Complex Systems","issn_l":"0219-5259","issn":["0219-5259","1793-6802","1793-9615","1793-9623"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Modeling, Simulation, and Scientific Computing","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W1501500081","https://openalex.org/W1982024311","https://openalex.org/W2000117996","https://openalex.org/W2015176341","https://openalex.org/W2058990119","https://openalex.org/W2061438946","https://openalex.org/W2128119911","https://openalex.org/W2153351685","https://openalex.org/W2160651177","https://openalex.org/W2334209830","https://openalex.org/W2516868778","https://openalex.org/W2553745069","https://openalex.org/W2609896028","https://openalex.org/W2809762371","https://openalex.org/W2870915770","https://openalex.org/W2884677686","https://openalex.org/W2898052782","https://openalex.org/W2902160736","https://openalex.org/W2905521609","https://openalex.org/W2908947783"],"related_works":["https://openalex.org/W2441762250","https://openalex.org/W2811390910","https://openalex.org/W2146076056","https://openalex.org/W2144059113","https://openalex.org/W3003836766","https://openalex.org/W2112800329","https://openalex.org/W2138631331","https://openalex.org/W2941132005","https://openalex.org/W2184440854","https://openalex.org/W1558697903"],"abstract_inverted_index":{"The":[0,53,99,186,211],"technical":[1],"advancement":[2],"in":[3,15,221],"information":[4],"systems":[5],"contributes":[6],"towards":[7],"the":[8,12,16,36,48,60,69,90,95,106,117,124,129,133,138,142,148,160,163,166,171,174,178,182,191,198,201,207,214,218],"massive":[9],"availability":[10],"of":[11,120,135,144,151,162,173,213,223],"documents":[13,55],"stored":[14],"electronic":[17],"databases":[18],"such":[19],"as":[20],"e-mails,":[21],"internet":[22],"and":[23,34,67,110,153,177,196,228,236],"web":[24],"pages.":[25],"Therefore,":[26],"it":[27],"becomes":[28],"a":[29,145],"complex":[30],"task":[31],"for":[32,44,115],"arranging":[33],"browsing":[35],"required":[37],"document.":[38],"This":[39],"paper":[40],"proposes":[41],"an":[42],"approach":[43],"incremental":[45],"clustering":[46,91,125,224],"using":[47,86,94,128,190],"Bat-Grey":[49],"Wolf":[50,112],"Optimizer":[51,113],"(BAGWO).":[52],"input":[54],"are":[56,156,203],"initially":[57],"subjected":[58],"to":[59,63],"pre-processing":[61,152],"module":[62],"obtain":[64],"useful":[65],"keywords,":[66],"then":[68],"feature":[70,79,81,154],"extraction":[71,155],"is":[72,83,92,102,126,168,188],"performed":[73,189],"based":[74,205],"on":[75,159,206],"wordnet":[76],"features.":[77],"After":[78],"extraction,":[80],"selection":[82],"carried":[84],"out":[85],"entropy":[87],"function.":[88],"Subsequently,":[89],"done":[93,169],"proposed":[96,183],"BAGWO":[97,100,130,184,216],"algorithm.":[98],"algorithm":[101],"designed":[103],"by":[104,181],"integrating":[105],"Bat":[107],"Algorithm":[108],"(BA)":[109],"Grey":[111],"(GWO)":[114],"generating":[116],"different":[118],"clusters":[119,179],"text":[121],"documents.":[122],"Hence,":[123],"determined":[127],"algorithm,":[131],"yielding":[132],"group":[134],"clusters.":[136],"On":[137],"other":[139],"side,":[140],"upon":[141],"arrival":[143],"new":[146],"document,":[147,165,176],"same":[149],"steps":[150],"performed.":[157],"Based":[158],"features":[161,172],"test":[164,175],"mapping":[167,187,199],"between":[170],"obtained":[180],"approach.":[185],"kernel-based":[192],"deep":[193],"point":[194],"distance":[195],"once":[197],"terminated,":[200],"representatives":[202],"updated":[204],"fuzzy-based":[208],"representative":[209],"update.":[210],"performance":[212],"developed":[215],"outperformed":[217],"existing":[219],"techniques":[220],"terms":[222],"accuracy,":[225],"Jaccard":[226],"coefficient,":[227],"rand":[229],"coefficient":[230],"with":[231],"maximal":[232],"values":[233],"0.948,":[234],"0.968,":[235],"0.969,":[237],"respectively.":[238]},"counts_by_year":[{"year":2023,"cited_by_count":1}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}