{"id":"https://openalex.org/W3015209258","doi":"https://doi.org/10.1109/ncc48643.2020.9056006","title":"Low-Rank Kernelized Graph-based Clustering using Multiple Views","display_name":"Low-Rank Kernelized Graph-based Clustering using Multiple Views","publication_year":2020,"publication_date":"2020-02-01","ids":{"openalex":"https://openalex.org/W3015209258","doi":"https://doi.org/10.1109/ncc48643.2020.9056006","mag":"3015209258"},"language":"en","primary_location":{"id":"doi:10.1109/ncc48643.2020.9056006","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ncc48643.2020.9056006","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 National Conference on Communications (NCC)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5025376928","display_name":"Supratim Manna","orcid":"https://orcid.org/0000-0002-1442-7625"},"institutions":[{"id":"https://openalex.org/I145894827","display_name":"Indian Institute of Technology Kharagpur","ror":"https://ror.org/03w5sq511","country_code":"IN","type":"education","lineage":["https://openalex.org/I145894827"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Supratim Manna","raw_affiliation_strings":["Department of Electrical Engineering, Indian Instiute of Technology, Kharagpur, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, Indian Instiute of Technology, Kharagpur, India","institution_ids":["https://openalex.org/I145894827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5011463439","display_name":"Jessy Rimaya Khonglah","orcid":"https://orcid.org/0000-0002-4724-8746"},"institutions":[{"id":"https://openalex.org/I145894827","display_name":"Indian Institute of Technology Kharagpur","ror":"https://ror.org/03w5sq511","country_code":"IN","type":"education","lineage":["https://openalex.org/I145894827"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Jessy Rimaya Khonglah","raw_affiliation_strings":["Department of Electrical Engineering, Indian Instiute of Technology, Kharagpur, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, Indian Instiute of Technology, Kharagpur, India","institution_ids":["https://openalex.org/I145894827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5080264301","display_name":"Anirban Mukherjee","orcid":"https://orcid.org/0000-0002-8463-4347"},"institutions":[{"id":"https://openalex.org/I145894827","display_name":"Indian Institute of Technology Kharagpur","ror":"https://ror.org/03w5sq511","country_code":"IN","type":"education","lineage":["https://openalex.org/I145894827"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Anirban Mukherjee","raw_affiliation_strings":["Department of Electrical Engineering, Indian Instiute of Technology, Kharagpur, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, Indian Instiute of Technology, Kharagpur, India","institution_ids":["https://openalex.org/I145894827"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5069790572","display_name":"Goutam Saha","orcid":"https://orcid.org/0000-0001-6187-1684"},"institutions":[{"id":"https://openalex.org/I145894827","display_name":"Indian Institute of Technology Kharagpur","ror":"https://ror.org/03w5sq511","country_code":"IN","type":"education","lineage":["https://openalex.org/I145894827"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Goutam Saha","raw_affiliation_strings":["Department of Electronics & Electrical Communication Engineering, Indian Institute of Technology, Kharagpur, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electronics & Electrical Communication Engineering, Indian Institute of Technology, Kharagpur, India","institution_ids":["https://openalex.org/I145894827"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I145894827"],"apc_list":null,"apc_paid":null,"fwci":0.0854,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.28399537,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"2","issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10057","display_name":"Face and Expression Recognition","score":0.9958000183105469,"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"}},"topics":[{"id":"https://openalex.org/T10057","display_name":"Face and Expression Recognition","score":0.9958000183105469,"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/T10637","display_name":"Advanced Clustering Algorithms Research","score":0.983299970626831,"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/T13731","display_name":"Advanced Computing and Algorithms","score":0.9728999733924866,"subfield":{"id":"https://openalex.org/subfields/3322","display_name":"Urban Studies"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.7483598589897156},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6301158666610718},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.6003865003585815},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5720374584197998},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5127078294754028},{"id":"https://openalex.org/keywords/kernel-method","display_name":"Kernel method","score":0.4527833163738251},{"id":"https://openalex.org/keywords/correlation-clustering","display_name":"Correlation clustering","score":0.45146751403808594},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4166823625564575},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3973456621170044},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.31266364455223083},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.20895329117774963},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.11145851016044617}],"concepts":[{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.7483598589897156},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6301158666610718},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.6003865003585815},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5720374584197998},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5127078294754028},{"id":"https://openalex.org/C122280245","wikidata":"https://www.wikidata.org/wiki/Q620622","display_name":"Kernel method","level":3,"score":0.4527833163738251},{"id":"https://openalex.org/C94641424","wikidata":"https://www.wikidata.org/wiki/Q5172845","display_name":"Correlation clustering","level":3,"score":0.45146751403808594},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4166823625564575},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3973456621170044},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.31266364455223083},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.20895329117774963},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.11145851016044617},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ncc48643.2020.9056006","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ncc48643.2020.9056006","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 National Conference on Communications (NCC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":32,"referenced_works":["https://openalex.org/W297461772","https://openalex.org/W1915109052","https://openalex.org/W1975172027","https://openalex.org/W1986007546","https://openalex.org/W2101324110","https://openalex.org/W2113573459","https://openalex.org/W2142109962","https://openalex.org/W2147278762","https://openalex.org/W2151417892","https://openalex.org/W2155074104","https://openalex.org/W2155904486","https://openalex.org/W2157032868","https://openalex.org/W2165874743","https://openalex.org/W2166049352","https://openalex.org/W2168029744","https://openalex.org/W2234634182","https://openalex.org/W2406581873","https://openalex.org/W2577472518","https://openalex.org/W2604723872","https://openalex.org/W2740464254","https://openalex.org/W2792874300","https://openalex.org/W2964169082","https://openalex.org/W3101749733","https://openalex.org/W4285719527","https://openalex.org/W6610472804","https://openalex.org/W6640140148","https://openalex.org/W6675134712","https://openalex.org/W6681738144","https://openalex.org/W6684578312","https://openalex.org/W6714133674","https://openalex.org/W6731795620","https://openalex.org/W6735994599"],"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/W2111119584","https://openalex.org/W3144143113","https://openalex.org/W3039964395","https://openalex.org/W2804957450","https://openalex.org/W2357208913"],"abstract_inverted_index":{"Kernelized":[0],"methods":[1,15],"using":[2,80],"multiple":[3,81],"kernels":[4],"have":[5],"shown":[6],"better":[7,107],"performances":[8,76,108],"in":[9,22,34,56],"graph-based":[10,37,49],"clustering.":[11],"But":[12],"those":[13,35,42],"kernelized":[14,36],"get":[16],"affected":[17],"by":[18,68,79],"the":[19,23,60,74,96,106,110],"noise":[20],"present":[21],"data":[24,91,103],"set.":[25,92],"Also,":[26],"only":[27],"a":[28,44,89],"single":[29],"view":[30],"has":[31,53],"been":[32,54],"used":[33],"clustering":[38,50,75],"methods.":[39,116],"To":[40],"address":[41],"issues,":[43],"novel":[45],"low-rank":[46,69],"multi-view":[47],"multi-kernel":[48],"framework":[51,99,112],"(LRMVMKC)":[52],"proposed":[55,97,111],"this":[57],"paper.":[58],"Where":[59],"similarity":[61],"nature":[62],"of":[63,95,109],"kernel":[64,71],"matrices":[65],"are":[66,77],"exploited":[67],"optimal":[70],"learning":[72],"and":[73],"boosted":[78],"views":[82],"that":[83],"provide":[84],"different":[85,101],"partial":[86],"information":[87],"about":[88],"given":[90],"The":[93],"use":[94],"LRMVMKC":[98],"on":[100],"benchmark":[102],"sets":[104],"demonstrates":[105],"over":[113],"other":[114],"existing":[115]},"counts_by_year":[{"year":2022,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}