{"id":"https://openalex.org/W4406668340","doi":"https://doi.org/10.3390/app15031032","title":"BiModalClust: Fused Data and Neighborhood Variation for Advanced K-Means Big Data Clustering","display_name":"BiModalClust: Fused Data and Neighborhood Variation for Advanced K-Means Big Data Clustering","publication_year":2025,"publication_date":"2025-01-21","ids":{"openalex":"https://openalex.org/W4406668340","doi":"https://doi.org/10.3390/app15031032"},"language":"en","primary_location":{"id":"doi:10.3390/app15031032","doi":"https://doi.org/10.3390/app15031032","is_oa":true,"landing_page_url":"https://doi.org/10.3390/app15031032","pdf_url":"https://www.mdpi.com/2076-3417/15/3/1032/pdf?version=1737462414","source":{"id":"https://openalex.org/S4210205812","display_name":"Applied Sciences","issn_l":"2076-3417","issn":["2076-3417"],"is_oa":true,"is_in_doaj":true,"is_core":true,"listed_in":["anvur-class-a","anvur-scientific","cwts-core","doaj","norway-1","oarl","poland-100","russia-white-list-2","vabb-shw"],"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Applied Sciences","raw_type":"journal-article"},"volume":null,"type":"article","is_traditional":true,"indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/2076-3417/15/3/1032/pdf?version=1737462414","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5028453492","display_name":"Ravil Mussabayev","orcid":"https://orcid.org/0000-0003-1105-5990","observed_orcids":["https://orcid.org/0000-0003-1105-5990"]},"institutions":[{"id":"https://openalex.org/I204275683","display_name":"Satbayev University","ror":"https://ror.org/020cpsb96","country_code":"KZ","type":"education","lineage":["https://openalex.org/I204275683"]},{"id":"https://openalex.org/I4210135055","display_name":"Institute of Information and Computational Technologies","ror":"https://ror.org/03v6e0k54","country_code":"KZ","type":"facility","lineage":["https://openalex.org/I4210135055"]}],"countries":["KZ"],"is_corresponding":true,"raw_author_name":"Ravil Mussabayev","raw_affiliation_strings":["AI Research Lab, Department of Software Engineering, Satbayev University, Satbayev Str. 22, Almaty 050013, Kazakhstan","Laboratory for Analysis and Modeling of Information Processes, Institute of Information and Computational Technologies, Pushkin Str. 125, Almaty 050010, Kazakhstan"],"raw_orcid":"https://orcid.org/0000-0003-1105-5990","affiliations":[{"raw_affiliation_string":"AI Research Lab, Department of Software Engineering, Satbayev University, Satbayev Str. 22, Almaty 050013, Kazakhstan","institution_ids":["https://openalex.org/I204275683"]},{"raw_affiliation_string":"Laboratory for Analysis and Modeling of Information Processes, Institute of Information and Computational Technologies, Pushkin Str. 125, Almaty 050010, Kazakhstan","institution_ids":["https://openalex.org/I4210135055"]}]},{"author_position":"last","author":{"id":null,"display_name":"Rustam Mussabayev","orcid":"https://orcid.org/0000-0001-7283-5144","observed_orcids":["https://orcid.org/0000-0001-7283-5144"]},"institutions":[{"id":"https://openalex.org/I204275683","display_name":"Satbayev University","ror":"https://ror.org/020cpsb96","country_code":"KZ","type":"education","lineage":["https://openalex.org/I204275683"]},{"id":"https://openalex.org/I4210135055","display_name":"Institute of Information and Computational Technologies","ror":"https://ror.org/03v6e0k54","country_code":"KZ","type":"facility","lineage":["https://openalex.org/I4210135055"]}],"countries":["KZ"],"is_corresponding":false,"raw_author_name":"Rustam Mussabayev","raw_affiliation_strings":["AI Research Lab, Department of Software Engineering, Satbayev University, Satbayev Str. 22, Almaty 050013, Kazakhstan","Laboratory for Analysis and Modeling of Information Processes, Institute of Information and Computational Technologies, Pushkin Str. 125, Almaty 050010, Kazakhstan"],"raw_orcid":"https://orcid.org/0000-0001-7283-5144","affiliations":[{"raw_affiliation_string":"AI Research Lab, Department of Software Engineering, Satbayev University, Satbayev Str. 22, Almaty 050013, Kazakhstan","institution_ids":["https://openalex.org/I204275683"]},{"raw_affiliation_string":"Laboratory for Analysis and Modeling of Information Processes, Institute of Information and Computational Technologies, Pushkin Str. 125, Almaty 050010, Kazakhstan","institution_ids":["https://openalex.org/I4210135055"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5028453492"],"corresponding_institution_ids":["https://openalex.org/I204275683","https://openalex.org/I4210135055"],"apc_list":{"value":2400,"currency":"CHF","value_usd":2896},"apc_paid":{"value":2400,"currency":"CHF","value_usd":2896},"fwci":0.7338,"has_fulltext":true,"cited_by_count":3,"citation_normalized_percentile":{"value":0.70176157,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":"15","issue":"3","first_page":"1032","last_page":"1032"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10637","display_name":"Advanced Clustering Algorithms Research","score":1.0,"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":1.0,"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/T13373","display_name":"Data Mining and Machine Learning Applications","score":0.0,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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":0.0,"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/k-means-clustering","display_name":"K-means clustering","score":0.8629999756813049},{"id":"https://openalex.org/keywords/big-data-clustering","display_name":"big data clustering","score":0.9570000171661377},{"id":"https://openalex.org/keywords/variable-neighborhood-search","display_name":"variable neighborhood search","score":0.890999972820282},{"id":"https://openalex.org/keywords/minimum-sum-of-squares-clustering","display_name":"minimum sum-of-squares clustering","score":0.9549999833106995},{"id":"https://openalex.org/keywords/neighborhood-structure","display_name":"neighborhood structure","score":0.6850000023841858},{"id":"https://openalex.org/keywords/metaheuristic-optimization","display_name":"metaheuristic optimization","score":0.7269999980926514},{"id":"https://openalex.org/keywords/scalability","display_name":"scalability","score":0.5860000252723694}],"concepts":[{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.4801853895187378},{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.44843289256095886},{"id":"https://openalex.org/C2778334786","wikidata":"https://www.wikidata.org/wiki/Q1586270","display_name":"Variation (astronomy)","level":2,"score":0.44360631704330444},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4202975034713745},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.276328444480896},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.16487529873847961},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.08920601010322571},{"id":"https://openalex.org/C44870925","wikidata":"https://www.wikidata.org/wiki/Q37547","display_name":"Astrophysics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.3390/app15031032","doi":"https://doi.org/10.3390/app15031032","is_oa":true,"landing_page_url":"https://doi.org/10.3390/app15031032","pdf_url":"https://www.mdpi.com/2076-3417/15/3/1032/pdf?version=1737462414","source":{"id":"https://openalex.org/S4210205812","display_name":"Applied Sciences","issn_l":"2076-3417","issn":["2076-3417"],"is_oa":true,"is_in_doaj":true,"is_core":true,"listed_in":["anvur-class-a","anvur-scientific","cwts-core","doaj","norway-1","oarl","poland-100","russia-white-list-2","vabb-shw"],"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Applied Sciences","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:cb169cdf322d450297ede94ba61a7968","doi":null,"is_oa":true,"landing_page_url":"https://doaj.org/article/cb169cdf322d450297ede94ba61a7968","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,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Applied Sciences, Vol 15, Iss 3, p 1032 (2025)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.3390/app15031032","doi":"https://doi.org/10.3390/app15031032","is_oa":true,"landing_page_url":"https://doi.org/10.3390/app15031032","pdf_url":"https://www.mdpi.com/2076-3417/15/3/1032/pdf?version=1737462414","source":{"id":"https://openalex.org/S4210205812","display_name":"Applied Sciences","issn_l":"2076-3417","issn":["2076-3417"],"is_oa":true,"is_in_doaj":true,"is_core":true,"listed_in":["anvur-class-a","anvur-scientific","cwts-core","doaj","norway-1","oarl","poland-100","russia-white-list-2","vabb-shw"],"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Applied Sciences","raw_type":"journal-article"},"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[{"id":"https://openalex.org/F4162953165","display_name":"Ministry of Science and Higher Education of the Republic of Kazakhstan","ror":"https://ror.org/05tyne317"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4406668340.pdf","grobid_xml":"https://content.openalex.org/works/W4406668340.grobid-xml"},"referenced_works_count":22,"referenced_works":["https://openalex.org/W1489608363","https://openalex.org/W2010334716","https://openalex.org/W2016381774","https://openalex.org/W2086959852","https://openalex.org/W2091292848","https://openalex.org/W2148948822","https://openalex.org/W2327951994","https://openalex.org/W2511498629","https://openalex.org/W2772527255","https://openalex.org/W2789548662","https://openalex.org/W2798965501","https://openalex.org/W2805169807","https://openalex.org/W2895659830","https://openalex.org/W2902620155","https://openalex.org/W2940320374","https://openalex.org/W3011417748","https://openalex.org/W3112135300","https://openalex.org/W3124214789","https://openalex.org/W4313442728","https://openalex.org/W4389681787","https://openalex.org/W4399885743","https://openalex.org/W4400656339"],"related_works":["https://openalex.org/W4409783468","https://openalex.org/W7169785314","https://openalex.org/W4408443465","https://openalex.org/W4412125060","https://openalex.org/W4400913762","https://openalex.org/W4410461739","https://openalex.org/W7201867459","https://openalex.org/W6923633889","https://openalex.org/W7211894648","https://openalex.org/W4409063897"],"abstract_inverted_index":{"K-means":[0],"clustering":[1,28,139],"is":[2],"a":[3,26,32,115],"fundamental":[4],"tool":[5],"in":[6,144],"data":[7,49,146],"mining,":[8],"yet":[9],"its":[10],"scalability":[11,125],"and":[12,51,89,99,118,126],"efficacy":[13],"decline":[14],"when":[15],"faced":[16],"with":[17],"massive":[18],"datasets.":[19],"In":[20],"this":[21],"work,":[22],"we":[23,86],"introduce":[24],"BiModalClust,":[25],"novel":[27],"algorithm":[29],"that":[30,135],"leverages":[31],"bimodal":[33],"optimization":[34,107],"paradigm":[35],"to":[36,72],"overcome":[37],"these":[38,91],"challenges.":[39],"Our":[40],"approach":[41],"simultaneously":[42],"optimizes":[43],"two":[44],"interdependent":[45],"modalities:":[46],"the":[47,52,56,65,76,80],"input":[48],"stream":[50],"neighborhood":[53],"structure":[54],"of":[55,64,75,96,102],"solution":[57],"landscape,":[58],"which":[59],"emerges":[60],"from":[61],"iterative":[62],"restrictions":[63],"Minimum":[66],"Sum-of-Squares":[67],"Clustering":[68],"(MSSC)":[69],"objective":[70],"function":[71],"sampled":[73],"subsets":[74],"data.":[77],"By":[78],"integrating":[79],"Variable":[81],"Neighborhood":[82],"Search":[83],"(VNS)":[84],"metaheuristic,":[85],"systematically":[87],"explore":[88],"refine":[90],"landscapes":[92],"through":[93],"dynamic":[94],"reinitialization":[95],"degenerate":[97],"centroids":[98],"adaptive":[100],"exploration":[101],"expanding":[103],"neighborhoods.":[104],"This":[105],"dual-stream":[106],"not":[108],"only":[109],"transforms":[110],"traditional":[111],"local":[112],"search":[113],"into":[114],"more":[116],"global":[117],"robust":[119],"process":[120],"but":[121],"also":[122],"ensures":[123],"computational":[124],"precision.":[127],"Extensive":[128],"experimentation":[129],"on":[130],"diverse":[131],"real-world":[132],"datasets":[133],"demonstrates":[134],"BiModalClust":[136],"achieves":[137],"superior":[138],"performance":[140],"among":[141],"K-means-based":[142],"methods":[143],"big":[145],"environments.":[147]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2}],"updated_date":"2026-11-07T11:25:07.637180","created_date":"2025-01-22T00:00:00"}
