{"id":"https://openalex.org/W2792145771","doi":"https://doi.org/10.3233/ida-163222","title":"A co-evolutionary framework for adaptive multidimensional data clustering","display_name":"A co-evolutionary framework for adaptive multidimensional data clustering","publication_year":2018,"publication_date":"2018-02-22","ids":{"openalex":"https://openalex.org/W2792145771","doi":"https://doi.org/10.3233/ida-163222","mag":"2792145771"},"language":"en","primary_location":{"id":"doi:10.3233/ida-163222","is_oa":false,"landing_page_url":"https://doi.org/10.3233/ida-163222","pdf_url":null,"source":{"id":"https://openalex.org/S2498839158","display_name":"Intelligent Data Analysis","issn_l":"1088-467X","issn":["1088-467X","1571-4128"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Intelligent Data Analysis","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/A5050226997","display_name":"Manar Hosny","orcid":"https://orcid.org/0000-0003-3054-647X"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Manar I. Hosny","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5112352224","display_name":"Lubna Al Hinti","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Lubna Al Hinti","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5014367459","display_name":"Sawsan Al-Malak","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Sawsan Al-Malak","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5050226997"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.0139,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.82026894,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":97},"biblio":{"volume":"22","issue":"1","first_page":"77","last_page":"101"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10637","display_name":"Advanced Clustering Algorithms Research","score":0.9994000196456909,"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":0.9994000196456909,"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":0.9962999820709229,"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":0.9907000064849854,"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":0.8414640426635742},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6643678545951843},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5798965096473694},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5692085027694702},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5648499131202698},{"id":"https://openalex.org/keywords/correlation-clustering","display_name":"Correlation clustering","score":0.510358989238739},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.47987285256385803},{"id":"https://openalex.org/keywords/curse-of-dimensionality","display_name":"Curse of dimensionality","score":0.47866591811180115},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.4483283758163452},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.4237528145313263},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3818588852882385},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.05985644459724426}],"concepts":[{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.8414640426635742},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6643678545951843},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5798965096473694},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5692085027694702},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5648499131202698},{"id":"https://openalex.org/C94641424","wikidata":"https://www.wikidata.org/wiki/Q5172845","display_name":"Correlation clustering","level":3,"score":0.510358989238739},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.47987285256385803},{"id":"https://openalex.org/C111030470","wikidata":"https://www.wikidata.org/wiki/Q1430460","display_name":"Curse of dimensionality","level":2,"score":0.47866591811180115},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.4483283758163452},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.4237528145313263},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3818588852882385},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.05985644459724426},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.3233/ida-163222","is_oa":false,"landing_page_url":"https://doi.org/10.3233/ida-163222","pdf_url":null,"source":{"id":"https://openalex.org/S2498839158","display_name":"Intelligent Data Analysis","issn_l":"1088-467X","issn":["1088-467X","1571-4128"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Intelligent Data Analysis","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320332688","display_name":"University of California, Irvine","ror":"https://ror.org/04gyf1771"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":59,"referenced_works":["https://openalex.org/W2304140","https://openalex.org/W199614230","https://openalex.org/W1490690856","https://openalex.org/W1501500081","https://openalex.org/W1526719228","https://openalex.org/W1544027360","https://openalex.org/W1568834902","https://openalex.org/W1586250870","https://openalex.org/W1664762403","https://openalex.org/W1827261456","https://openalex.org/W1879009681","https://openalex.org/W1909728859","https://openalex.org/W1959178355","https://openalex.org/W1965750261","https://openalex.org/W1974090011","https://openalex.org/W1980317569","https://openalex.org/W1989946714","https://openalex.org/W1992419399","https://openalex.org/W1996344812","https://openalex.org/W2003087230","https://openalex.org/W2006533296","https://openalex.org/W2010656511","https://openalex.org/W2017504074","https://openalex.org/W2019403973","https://openalex.org/W2035364453","https://openalex.org/W2041895610","https://openalex.org/W2047019718","https://openalex.org/W2052556921","https://openalex.org/W2062554008","https://openalex.org/W2070150264","https://openalex.org/W2073857938","https://openalex.org/W2074321479","https://openalex.org/W2093363711","https://openalex.org/W2102831150","https://openalex.org/W2103868202","https://openalex.org/W2111759698","https://openalex.org/W2115315530","https://openalex.org/W2120529703","https://openalex.org/W2123980993","https://openalex.org/W2124744969","https://openalex.org/W2129066856","https://openalex.org/W2130949063","https://openalex.org/W2133990480","https://openalex.org/W2137872980","https://openalex.org/W2146016260","https://openalex.org/W2153233077","https://openalex.org/W2156571267","https://openalex.org/W2169936690","https://openalex.org/W2186351772","https://openalex.org/W2198203892","https://openalex.org/W2478540127","https://openalex.org/W2492259724","https://openalex.org/W3122140352","https://openalex.org/W4253242484","https://openalex.org/W6633992998","https://openalex.org/W6678479632","https://openalex.org/W6682904970","https://openalex.org/W6686884331","https://openalex.org/W7011740287"],"related_works":["https://openalex.org/W1999117613","https://openalex.org/W2040929534","https://openalex.org/W3022637481","https://openalex.org/W2393816671","https://openalex.org/W3120229345","https://openalex.org/W3144143113","https://openalex.org/W3039964395","https://openalex.org/W2804957450","https://openalex.org/W2111119584","https://openalex.org/W1887359504"],"abstract_inverted_index":{"Data":[0],"clustering":[1,71,192],"refers":[2],"to":[3,57,65],"constructing":[4],"groups":[5],"of":[6,40,76,82,93,119,133,146,171,197],"objects":[7],"that":[8,29],"are":[9,127,148,185],"highly":[10],"correlated,":[11],"based":[12],"on":[13,160],"some":[14],"similarity":[15],"measure.":[16],"It":[17],"is":[18,36,100],"a":[19,59,88,112,179,194],"very":[20],"popular":[21],"technique":[22],"for":[23,62,104,115,130,193],"intelligent":[24],"knowledge":[25,78],"discovery.":[26],"A":[27],"challenge":[28],"arises":[30],"in":[31,96,153],"automatic":[32],"data":[33,123],"clustering,":[34],"though,":[35],"the":[37,70,74,80,116,131,135,144,154,169,172],"high":[38],"dimensionality":[39],"data,":[41,83],"since":[42],"each":[43,63],"obj":[44],"ect":[45],"can":[46],"be":[47],"described":[48],"by":[49],"several":[50,161],"relevant":[51],"features.":[52],"Thus,":[53],"we":[54,110],"often":[55],"need":[56],"assign":[58],"relative":[60],"weight":[61],"feature":[64,94,120,140,183],"indicate":[66,168],"its":[67],"importance":[68],"during":[69,122],"process.":[72,156],"With":[73],"absence":[75],"domain":[77],"about":[79],"nature":[81],"assigning":[84],"such":[85,105],"weights":[86,95,121,184],"becomes":[87],"challenging":[89],"task.":[90],"Dynamic":[91],"adjustment":[92,118],"an":[97,101],"unsupervised":[98],"manner":[99],"attractive":[102],"solution":[103],"problem.":[106],"In":[107,142],"this":[108],"paper,":[109],"propose":[111],"co-evolutionary":[113],"algorithm":[114,176],"dynamic":[117],"clustering.":[124],"Two":[125],"populations":[126],"simultaneously":[128],"evolved":[129],"optimization":[132],"both":[134,178],"clusters":[136,147],"and":[137,151],"their":[138],"associated":[139],"weights.":[141],"addition,":[143],"number":[145,196],"also":[149],"learnt":[150],"optimized":[152],"evolutionary":[155],"Extensive":[157],"experimental":[158],"results":[159],"datasets":[162],"from":[163],"UCI":[164],"machine":[165],"learning":[166],"repository":[167],"efficacy":[170],"proposed":[173],"approach.":[174],"The":[175],"outperforms":[177],"non-adaptive":[180],"version,":[181],"where":[182],"not":[186],"considered,":[187],"as":[188,190],"well":[189],"K-means":[191],"fixed":[195],"clusters.":[198]},"counts_by_year":[{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":3}],"updated_date":"2026-06-23T06:36:01.041984","created_date":"2025-10-10T00:00:00"}