{"id":"https://openalex.org/W4390482079","doi":"https://doi.org/10.1109/ssci52147.2023.10371818","title":"A Novel Robust Kernelized FCM Based Multi-Objective Simultaneous Learning Framework for Clustering and Classification","display_name":"A Novel Robust Kernelized FCM Based Multi-Objective Simultaneous Learning Framework for Clustering and Classification","publication_year":2023,"publication_date":"2023-12-05","ids":{"openalex":"https://openalex.org/W4390482079","doi":"https://doi.org/10.1109/ssci52147.2023.10371818"},"language":"en","primary_location":{"id":"doi:10.1109/ssci52147.2023.10371818","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ssci52147.2023.10371818","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE Symposium Series on Computational Intelligence (SSCI)","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/A5102761568","display_name":"Saketh Innani","orcid":"https://orcid.org/0009-0008-4835-1973"},"institutions":[{"id":"https://openalex.org/I4210164565","display_name":"Mahindra University","ror":"https://ror.org/05751b994","country_code":"IN","type":"education","lineage":["https://openalex.org/I4210164565"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Saketh Innani","raw_affiliation_strings":["Ecole Centrale School of Engineering, Mahindra University,Department of Computer Science and Engineering,Hyderabad,India","Department of Computer Science and Engineering, Ecole Centrale School of Engineering, Mahindra University, Hyderabad, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Ecole Centrale School of Engineering, Mahindra University,Department of Computer Science and Engineering,Hyderabad,India","institution_ids":["https://openalex.org/I4210164565"]},{"raw_affiliation_string":"Department of Computer Science and Engineering, Ecole Centrale School of Engineering, Mahindra University, Hyderabad, India","institution_ids":["https://openalex.org/I4210164565"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5093630957","display_name":"Pawan Chinnari","orcid":"https://orcid.org/0009-0001-6830-6095"},"institutions":[{"id":"https://openalex.org/I4210164565","display_name":"Mahindra University","ror":"https://ror.org/05751b994","country_code":"IN","type":"education","lineage":["https://openalex.org/I4210164565"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Pawan Chinnari","raw_affiliation_strings":["Ecole Centrale School of Engineering, Mahindra University,Department of Computer Science and Engineering,Hyderabad,India","Department of Computer Science and Engineering, Ecole Centrale School of Engineering, Mahindra University, Hyderabad, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Ecole Centrale School of Engineering, Mahindra University,Department of Computer Science and Engineering,Hyderabad,India","institution_ids":["https://openalex.org/I4210164565"]},{"raw_affiliation_string":"Department of Computer Science and Engineering, Ecole Centrale School of Engineering, Mahindra University, Hyderabad, India","institution_ids":["https://openalex.org/I4210164565"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103260573","display_name":"Soumen Sinha","orcid":"https://orcid.org/0009-0003-3875-0552"},"institutions":[{"id":"https://openalex.org/I4210164565","display_name":"Mahindra University","ror":"https://ror.org/05751b994","country_code":"IN","type":"education","lineage":["https://openalex.org/I4210164565"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Soumen Sinha","raw_affiliation_strings":["Ecole Centrale School of Engineering, Mahindra University,Department of Computer Science and Engineering,Hyderabad,India","Department of Computer Science and Engineering, Ecole Centrale School of Engineering, Mahindra University, Hyderabad, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Ecole Centrale School of Engineering, Mahindra University,Department of Computer Science and Engineering,Hyderabad,India","institution_ids":["https://openalex.org/I4210164565"]},{"raw_affiliation_string":"Department of Computer Science and Engineering, Ecole Centrale School of Engineering, Mahindra University, Hyderabad, India","institution_ids":["https://openalex.org/I4210164565"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Mehek Khan","orcid":null},"institutions":[{"id":"https://openalex.org/I4210164565","display_name":"Mahindra University","ror":"https://ror.org/05751b994","country_code":"IN","type":"education","lineage":["https://openalex.org/I4210164565"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Mehek Khan","raw_affiliation_strings":["Ecole Centrale School of Engineering, Mahindra University,Department of Computer Science and Engineering,Hyderabad,India","Department of Computer Science and Engineering, Ecole Centrale School of Engineering, Mahindra University, Hyderabad, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Ecole Centrale School of Engineering, Mahindra University,Department of Computer Science and Engineering,Hyderabad,India","institution_ids":["https://openalex.org/I4210164565"]},{"raw_affiliation_string":"Department of Computer Science and Engineering, Ecole Centrale School of Engineering, Mahindra University, Hyderabad, India","institution_ids":["https://openalex.org/I4210164565"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5086331021","display_name":"Neha Bharill","orcid":"https://orcid.org/0000-0002-2202-3647"},"institutions":[{"id":"https://openalex.org/I4210164565","display_name":"Mahindra University","ror":"https://ror.org/05751b994","country_code":"IN","type":"education","lineage":["https://openalex.org/I4210164565"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Neha Bharill","raw_affiliation_strings":["Ecole Centrale School of Engineering, Mahindra University,Department of Computer Science and Engineering,Hyderabad,India","Department of Computer Science and Engineering, Ecole Centrale School of Engineering, Mahindra University, Hyderabad, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Ecole Centrale School of Engineering, Mahindra University,Department of Computer Science and Engineering,Hyderabad,India","institution_ids":["https://openalex.org/I4210164565"]},{"raw_affiliation_string":"Department of Computer Science and Engineering, Ecole Centrale School of Engineering, Mahindra University, Hyderabad, India","institution_ids":["https://openalex.org/I4210164565"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5019008348","display_name":"Om Prakash Patel","orcid":"https://orcid.org/0000-0002-5295-4880"},"institutions":[{"id":"https://openalex.org/I4210164565","display_name":"Mahindra University","ror":"https://ror.org/05751b994","country_code":"IN","type":"education","lineage":["https://openalex.org/I4210164565"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Om Prakash Patel","raw_affiliation_strings":["Ecole Centrale School of Engineering, Mahindra University,Department of Computer Science and Engineering,Hyderabad,India","Department of Computer Science and Engineering, Ecole Centrale School of Engineering, Mahindra University, Hyderabad, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Ecole Centrale School of Engineering, Mahindra University,Department of Computer Science and Engineering,Hyderabad,India","institution_ids":["https://openalex.org/I4210164565"]},{"raw_affiliation_string":"Department of Computer Science and Engineering, Ecole Centrale School of Engineering, Mahindra University, Hyderabad, India","institution_ids":["https://openalex.org/I4210164565"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.1632,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.59181012,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"1251","last_page":"1256"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11550","display_name":"Text and Document Classification Technologies","score":0.9901000261306763,"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/T11550","display_name":"Text and Document Classification Technologies","score":0.9901000261306763,"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":0.9864000082015991,"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":0.9855999946594238,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.7949386239051819},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.629148006439209},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6198068261146545},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5792114734649658},{"id":"https://openalex.org/keywords/fuzzy-clustering","display_name":"Fuzzy clustering","score":0.5637668371200562},{"id":"https://openalex.org/keywords/conceptual-clustering","display_name":"Conceptual clustering","score":0.5351866483688354},{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.4424426555633545},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4340674579143524},{"id":"https://openalex.org/keywords/correlation-clustering","display_name":"Correlation clustering","score":0.41227203607559204},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.324069082736969},{"id":"https://openalex.org/keywords/cure-data-clustering-algorithm","display_name":"CURE data clustering algorithm","score":0.2997938394546509},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.28325194120407104}],"concepts":[{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.7949386239051819},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.629148006439209},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6198068261146545},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5792114734649658},{"id":"https://openalex.org/C17212007","wikidata":"https://www.wikidata.org/wiki/Q5511111","display_name":"Fuzzy clustering","level":3,"score":0.5637668371200562},{"id":"https://openalex.org/C39235581","wikidata":"https://www.wikidata.org/wiki/Q5158434","display_name":"Conceptual clustering","level":5,"score":0.5351866483688354},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.4424426555633545},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4340674579143524},{"id":"https://openalex.org/C94641424","wikidata":"https://www.wikidata.org/wiki/Q5172845","display_name":"Correlation clustering","level":3,"score":0.41227203607559204},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.324069082736969},{"id":"https://openalex.org/C33704608","wikidata":"https://www.wikidata.org/wiki/Q5014717","display_name":"CURE data clustering algorithm","level":4,"score":0.2997938394546509},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.28325194120407104},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ssci52147.2023.10371818","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ssci52147.2023.10371818","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE Symposium Series on Computational Intelligence (SSCI)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W1547527303","https://openalex.org/W1977741415","https://openalex.org/W2036930792","https://openalex.org/W2056609019","https://openalex.org/W2058915639","https://openalex.org/W2084812512","https://openalex.org/W2108786732","https://openalex.org/W2112802728","https://openalex.org/W2117509017","https://openalex.org/W2124386567","https://openalex.org/W2523693978","https://openalex.org/W2570647573","https://openalex.org/W2888790369","https://openalex.org/W4214941882","https://openalex.org/W4298006943","https://openalex.org/W4380742509"],"related_works":["https://openalex.org/W4224807364","https://openalex.org/W2596632494","https://openalex.org/W2945382830","https://openalex.org/W4312412183","https://openalex.org/W4292434959","https://openalex.org/W2535986621","https://openalex.org/W4388110928","https://openalex.org/W2607137685","https://openalex.org/W3161536855","https://openalex.org/W1970969031"],"abstract_inverted_index":{"Clustering":[0],"and":[1,81,92,134,148,166],"classification":[2,23,93,135,150],"are":[3,14,101,169],"the":[4,32,34,40,54,90,97,105,123,132,142,146,149,156,167,172],"two":[5],"important":[6],"tasks":[7,13],"involved":[8],"in":[9,38,61],"pattern":[10],"recognition.":[11],"Both":[12,96],"interrelated":[15],"with":[16,28,141,171],"each":[17,50],"other.":[18,51],"The":[19,137,153],"generalization":[20],"ability":[21],"of":[22,42,56,155],"learning":[24,47,58,75,151],"can":[25],"be":[26],"enhanced":[27],"clustering":[29,43,80,91,133,147],"results.":[30],"On":[31],"contrary,":[33],"class":[35],"information":[36],"helps":[37],"improving":[39],"accuracy":[41],"learning.":[44,136],"Thus,":[45],"both":[46,57,79,131],"strategy":[48],"complements":[49,145],"To":[52],"amalgamate":[53],"benefits":[55],"strategies,":[59],"therefore":[60],"this":[62],"paper,":[63],"we":[64],"proposed":[65,157],"a":[66],"novel":[67],"robust":[68],"kernelized":[69],"Fuzzy":[70],"c-Means":[71],"based":[72],"multi-objective":[73],"simultaneous":[74],"framework":[76],"(RKFCM-MSCC)":[77],"for":[78],"classification.":[82],"RKFCM-MSCC":[83,111,143,158],"employs":[84],"multiple":[85,118],"objective":[86,99,119],"functions":[87,100,120],"to":[88],"compose":[89],"problem,":[94],"respectively.":[95],"formulated":[98],"simultaneously":[102],"optimized":[103],"using":[104],"particle":[106],"swarm":[107],"optimization":[108],"approach.":[109],"Moreover":[110],"uses":[112],"Bayesian":[113],"theory":[114],"that":[115,129],"make":[116],"these":[117],"dependent":[121],"on":[122,162],"single":[124],"parameter":[125],"i.e.,":[126],"cluster":[127],"centers":[128],"connect":[130],"Pareto-optimal":[138],"solution":[139],"attained":[140],"approach":[144],"process.":[152],"effectiveness":[154],"is":[159],"empirically":[160],"investigated":[161],"four":[163],"benchmark":[164],"datasets":[165],"results":[168],"compared":[170],"state-of-the-art":[173],"approaches.":[174]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
