{"id":"https://openalex.org/W3111106402","doi":"https://doi.org/10.1109/jsac.2020.3041396","title":"Multikernel Clustering via Non-Negative Matrix Factorization Tailored Graph Tensor Over Distributed Networks","display_name":"Multikernel Clustering via Non-Negative Matrix Factorization Tailored Graph Tensor Over Distributed Networks","publication_year":2020,"publication_date":"2020-12-07","ids":{"openalex":"https://openalex.org/W3111106402","doi":"https://doi.org/10.1109/jsac.2020.3041396","mag":"3111106402"},"language":"en","primary_location":{"id":"doi:10.1109/jsac.2020.3041396","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jsac.2020.3041396","pdf_url":null,"source":{"id":"https://openalex.org/S90422530","display_name":"IEEE Journal on Selected Areas in Communications","issn_l":"0733-8716","issn":["0733-8716","1558-0008"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Journal on Selected Areas in Communications","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"http://hdl.handle.net/10251/188195","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5068223297","display_name":"Zhenwen Ren","orcid":"https://orcid.org/0000-0003-3791-9750"},"institutions":[{"id":"https://openalex.org/I1297991670","display_name":"Southwest University of Science and Technology","ror":"https://ror.org/04d996474","country_code":"CN","type":"education","lineage":["https://openalex.org/I1297991670"]},{"id":"https://openalex.org/I36399199","display_name":"Nanjing University of Science and Technology","ror":"https://ror.org/00xp9wg62","country_code":"CN","type":"education","lineage":["https://openalex.org/I36399199"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhenwen Ren","raw_affiliation_strings":["Department of Computer Science, Nanjing University of Science and Technology, Nanjing, China","Department of National Defence Science and Technology, Southwest University of Science and Technology, Mianyang, China"],"raw_orcid":"https://orcid.org/0000-0003-3791-9750","affiliations":[{"raw_affiliation_string":"Department of Computer Science, Nanjing University of Science and Technology, Nanjing, China","institution_ids":["https://openalex.org/I36399199"]},{"raw_affiliation_string":"Department of National Defence Science and Technology, Southwest University of Science and Technology, Mianyang, China","institution_ids":["https://openalex.org/I1297991670"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5066710236","display_name":"Mithun Mukherjee","orcid":"https://orcid.org/0000-0002-6605-180X"},"institutions":[{"id":"https://openalex.org/I200845125","display_name":"Nanjing University of Information Science and Technology","ror":"https://ror.org/02y0rxk19","country_code":"CN","type":"education","lineage":["https://openalex.org/I200845125"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Mithun Mukherjee","raw_affiliation_strings":["School of Artificial Intelligence, Nanjing University of Information Science and Technology, Nanjing, China"],"raw_orcid":"https://orcid.org/0000-0002-6605-180X","affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence, Nanjing University of Information Science and Technology, Nanjing, China","institution_ids":["https://openalex.org/I200845125"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5061429095","display_name":"Mehdi Bennis","orcid":"https://orcid.org/0000-0003-0261-0171"},"institutions":[{"id":"https://openalex.org/I98381234","display_name":"University of Oulu","ror":"https://ror.org/03yj89h83","country_code":"FI","type":"education","lineage":["https://openalex.org/I98381234"]}],"countries":["FI"],"is_corresponding":false,"raw_author_name":"Mehdi Bennis","raw_affiliation_strings":["Centre of Wireless Communication, University of Oulu, Oulu, Finland"],"raw_orcid":"https://orcid.org/0000-0003-0261-0171","affiliations":[{"raw_affiliation_string":"Centre of Wireless Communication, University of Oulu, Oulu, Finland","institution_ids":["https://openalex.org/I98381234"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5061267204","display_name":"Jaime Lloret","orcid":"https://orcid.org/0000-0002-0862-0533"},"institutions":[{"id":"https://openalex.org/I198012923","display_name":"University of Staffordshire","ror":"https://ror.org/00d6k8y35","country_code":"GB","type":"education","lineage":["https://openalex.org/I198012923"]},{"id":"https://openalex.org/I60053951","display_name":"Universitat Polit\u00e8cnica de Val\u00e8ncia","ror":"https://ror.org/01460j859","country_code":"ES","type":"education","lineage":["https://openalex.org/I60053951"]}],"countries":["ES","GB"],"is_corresponding":false,"raw_author_name":"Jaime Lloret","raw_affiliation_strings":["Instituto de Investigaci\u00f3n para la Gesti\u00f3n Integrada de Zonas Costeras (IGIC), Universitat Politecnica de Valencia, Valencia, Spain","School of Computing and Digital Technologies, Staffordshire University, Stoke, U.K"],"raw_orcid":"https://orcid.org/0000-0002-0862-0533","affiliations":[{"raw_affiliation_string":"Instituto de Investigaci\u00f3n para la Gesti\u00f3n Integrada de Zonas Costeras (IGIC), Universitat Politecnica de Valencia, Valencia, Spain","institution_ids":["https://openalex.org/I60053951"]},{"raw_affiliation_string":"School of Computing and Digital Technologies, Staffordshire University, Stoke, U.K","institution_ids":["https://openalex.org/I198012923"]}]}],"institutions":[],"countries_distinct_count":4,"institutions_distinct_count":6,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":5.747,"has_fulltext":false,"cited_by_count":26,"citation_normalized_percentile":{"value":0.955013,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"39","issue":"7","first_page":"1946","last_page":"1956"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11980","display_name":"Human Mobility and Location-Based Analysis","score":0.9905999898910522,"subfield":{"id":"https://openalex.org/subfields/3313","display_name":"Transportation"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T11980","display_name":"Human Mobility and Location-Based Analysis","score":0.9905999898910522,"subfield":{"id":"https://openalex.org/subfields/3313","display_name":"Transportation"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T12303","display_name":"Tensor decomposition and applications","score":0.9783999919891357,"subfield":{"id":"https://openalex.org/subfields/2605","display_name":"Computational Mathematics"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10148","display_name":"Advanced MIMO Systems Optimization","score":0.9700000286102295,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.7012641429901123},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6418731808662415},{"id":"https://openalex.org/keywords/matrix-decomposition","display_name":"Matrix decomposition","score":0.5029415488243103},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.4832378327846527},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.4824995994567871},{"id":"https://openalex.org/keywords/clustering-coefficient","display_name":"Clustering coefficient","score":0.4740978181362152},{"id":"https://openalex.org/keywords/tensor","display_name":"Tensor (intrinsic definition)","score":0.46049052476882935},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.4285470247268677},{"id":"https://openalex.org/keywords/graph-traversal","display_name":"Graph traversal","score":0.42638319730758667},{"id":"https://openalex.org/keywords/graph-kernel","display_name":"Graph kernel","score":0.4224125146865845},{"id":"https://openalex.org/keywords/kernel-method","display_name":"Kernel method","score":0.410831093788147},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3164243698120117},{"id":"https://openalex.org/keywords/kernel-embedding-of-distributions","display_name":"Kernel embedding of distributions","score":0.3093806207180023},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.27653005719184875},{"id":"https://openalex.org/keywords/discrete-mathematics","display_name":"Discrete mathematics","score":0.11612015962600708},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.11156803369522095}],"concepts":[{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.7012641429901123},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6418731808662415},{"id":"https://openalex.org/C42355184","wikidata":"https://www.wikidata.org/wiki/Q1361088","display_name":"Matrix decomposition","level":3,"score":0.5029415488243103},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.4832378327846527},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.4824995994567871},{"id":"https://openalex.org/C22047676","wikidata":"https://www.wikidata.org/wiki/Q898680","display_name":"Clustering coefficient","level":3,"score":0.4740978181362152},{"id":"https://openalex.org/C155281189","wikidata":"https://www.wikidata.org/wiki/Q3518150","display_name":"Tensor (intrinsic definition)","level":2,"score":0.46049052476882935},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.4285470247268677},{"id":"https://openalex.org/C96333769","wikidata":"https://www.wikidata.org/wiki/Q907955","display_name":"Graph traversal","level":3,"score":0.42638319730758667},{"id":"https://openalex.org/C100595998","wikidata":"https://www.wikidata.org/wiki/Q11731931","display_name":"Graph kernel","level":5,"score":0.4224125146865845},{"id":"https://openalex.org/C122280245","wikidata":"https://www.wikidata.org/wiki/Q620622","display_name":"Kernel method","level":3,"score":0.410831093788147},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3164243698120117},{"id":"https://openalex.org/C134517425","wikidata":"https://www.wikidata.org/wiki/Q16000131","display_name":"Kernel embedding of distributions","level":4,"score":0.3093806207180023},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.27653005719184875},{"id":"https://openalex.org/C118615104","wikidata":"https://www.wikidata.org/wiki/Q121416","display_name":"Discrete mathematics","level":1,"score":0.11612015962600708},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.11156803369522095},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C158693339","wikidata":"https://www.wikidata.org/wiki/Q190524","display_name":"Eigenvalues and eigenvectors","level":2,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/jsac.2020.3041396","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jsac.2020.3041396","pdf_url":null,"source":{"id":"https://openalex.org/S90422530","display_name":"IEEE Journal on Selected Areas in Communications","issn_l":"0733-8716","issn":["0733-8716","1558-0008"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Journal on Selected Areas in Communications","raw_type":"journal-article"},{"id":"pmh:oai:oulu.fi:nbnfi-fe2021101250683","is_oa":false,"landing_page_url":"http://urn.fi/urn:nbn:fi-fe2021101250683","pdf_url":null,"source":{"id":"https://openalex.org/S4306400284","display_name":"University of Oulu Repository (University of Oulu)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I98381234","host_organization_name":"University of Oulu","host_organization_lineage":["https://openalex.org/I98381234"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"info:eu-repo/semantics/article"},{"id":"pmh:oai:riunet.upv.es:10251/188195","is_oa":true,"landing_page_url":"http://hdl.handle.net/10251/188195","pdf_url":null,"source":{"id":"https://openalex.org/S4306401500","display_name":"RiuNet (Politechnical University of Valencia)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I60053951","host_organization_name":"Universitat Polit\u00e8cnica de Val\u00e8ncia","host_organization_lineage":["https://openalex.org/I60053951"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"info:eu-repo/semantics/article"}],"best_oa_location":{"id":"pmh:oai:riunet.upv.es:10251/188195","is_oa":true,"landing_page_url":"http://hdl.handle.net/10251/188195","pdf_url":null,"source":{"id":"https://openalex.org/S4306401500","display_name":"RiuNet (Politechnical University of Valencia)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I60053951","host_organization_name":"Universitat Polit\u00e8cnica de Val\u00e8ncia","host_organization_lineage":["https://openalex.org/I60053951"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"info:eu-repo/semantics/article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2485904393","display_name":null,"funder_award_id":"17zx7137","funder_id":"https://openalex.org/F4320322559","funder_display_name":"Southwest University of Science and Technology"},{"id":"https://openalex.org/G3884084741","display_name":null,"funder_award_id":"cstc2020jcyj-msxmX0473","funder_id":"https://openalex.org/F4320323172","funder_display_name":"Natural Science Foundation of Chongqing"},{"id":"https://openalex.org/G5088058781","display_name":null,"funder_award_id":"2019ZDZX0043","funder_id":"https://openalex.org/F4320333335","funder_display_name":"Sichuan Province Science and Technology Support Program"},{"id":"https://openalex.org/G5901325692","display_name":null,"funder_award_id":"2020ZDZX0014","funder_id":"https://openalex.org/F4320333335","funder_display_name":"Sichuan Province Science and Technology Support Program"},{"id":"https://openalex.org/G695691055","display_name":null,"funder_award_id":"cstc2020jcyj","funder_id":"https://openalex.org/F4320323172","funder_display_name":"Natural Science Foundation of Chongqing"}],"funders":[{"id":"https://openalex.org/F4320321108","display_name":"Academy of Finland","ror":"https://ror.org/05k73zm37"},{"id":"https://openalex.org/F4320322559","display_name":"Southwest University of Science and Technology","ror":"https://ror.org/04d996474"},{"id":"https://openalex.org/F4320323172","display_name":"Natural Science Foundation of Chongqing","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320323711","display_name":"Southwest University","ror":"https://ror.org/01kj4z117"},{"id":"https://openalex.org/F4320333335","display_name":"Sichuan Province Science and Technology Support Program","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":44,"referenced_works":["https://openalex.org/W1850275953","https://openalex.org/W1979089718","https://openalex.org/W2081549451","https://openalex.org/W2100549954","https://openalex.org/W2147278762","https://openalex.org/W2197707282","https://openalex.org/W2234634182","https://openalex.org/W2560185252","https://openalex.org/W2575920881","https://openalex.org/W2893830906","https://openalex.org/W2898541610","https://openalex.org/W2903321361","https://openalex.org/W2904965361","https://openalex.org/W2912205949","https://openalex.org/W2946867902","https://openalex.org/W2947617682","https://openalex.org/W2951085447","https://openalex.org/W2954752948","https://openalex.org/W2963051348","https://openalex.org/W2963165461","https://openalex.org/W2964169082","https://openalex.org/W2965510190","https://openalex.org/W2968902691","https://openalex.org/W2969633497","https://openalex.org/W2972877421","https://openalex.org/W2972882412","https://openalex.org/W2979359324","https://openalex.org/W2989773826","https://openalex.org/W2997969890","https://openalex.org/W3009100893","https://openalex.org/W3015274184","https://openalex.org/W3016505157","https://openalex.org/W3021874845","https://openalex.org/W3025752507","https://openalex.org/W3033203879","https://openalex.org/W3033674772","https://openalex.org/W3037214631","https://openalex.org/W4296563023","https://openalex.org/W6675164516","https://openalex.org/W6681738144","https://openalex.org/W6731814672","https://openalex.org/W6745981979","https://openalex.org/W6775815927","https://openalex.org/W6778938703"],"related_works":["https://openalex.org/W2574115973","https://openalex.org/W2090782076","https://openalex.org/W4401177601","https://openalex.org/W2115741655","https://openalex.org/W3008854474","https://openalex.org/W3044028388","https://openalex.org/W3099811568","https://openalex.org/W3046044621","https://openalex.org/W4287862919","https://openalex.org/W1590832708"],"abstract_inverted_index":{"Next-generation":[0],"wireless":[1],"networks":[2],"are":[3,206],"witnessing":[4],"an":[5,184],"increasing":[6],"number":[7],"of":[8,16,31,89,111,160,198,220],"clustering":[9,45],"applications,":[10],"and":[11,18,108,140,203],"produce":[12],"a":[13,69,119,167],"large":[14],"amount":[15],"non-linear":[17,39,90,131],"unlabeled":[19],"data.":[20],"In":[21,114],"some":[22],"degree,":[23],"single":[24],"kernel":[25,32,43,71,145,170],"methods":[26,57],"face":[27],"the":[28,85,95,106,156,194,200,210,218,224],"challenging":[29],"problem":[30,37],"choice.":[33],"To":[34],"overcome":[35],"this":[36,115],"for":[38,130],"data":[40,132],"clustering,":[41,133],"multiple":[42,73,151],"graph-based":[44],"(MKGC)":[46],"has":[47],"attracted":[48],"intense":[49],"attention":[50],"in":[51,144,166],"recent":[52],"years.":[53],"However,":[54],"existing":[55],"MKGC":[56,128,226],"suffer":[58],"from":[59,72],"two":[60],"common":[61],"problems:":[62],"(1)":[63],"they":[64,93],"mainly":[65],"aim":[66],"to":[67,149,208,223],"learn":[68,150],"consensus":[70],"candidate":[74,152,162],"kernels,":[75,101],"slight":[76],"affinity":[77,153,186],"graph":[78,87,126,141,187],"learning,":[79],"such":[80,182],"that":[81,183],"cannot":[82,103],"fully":[83,104],"exploit":[84],"underlying":[86],"structure":[88,158],"data;":[91],"(2)":[92],"disregard":[94],"high-order":[96,157],"correlations":[97],"between":[98],"all":[99,112,161],"base":[100],"which":[102],"capture":[105],"consistent":[107],"complementary":[109],"information":[110,159],"kernels.":[113],"paper,":[116],"we":[117],"propose":[118],"novel":[120],"non-negative":[121],"matrix":[122],"factorization":[123],"(NMF)":[124],"tailored":[125],"tensor":[127,169,174,179],"method":[129,197],"namely":[134],"TMKGC.":[135],"Specifically,":[136],"TMKGC":[137,221],"integrates":[138],"NMF":[139],"learning":[142],"together":[143],"space":[146,171],"so":[147],"as":[148],"graphs.":[154],"Afterwards,":[155],"graphs":[163],"is":[164],"captured":[165],"3-order":[168],"by":[172],"introducing":[173],"singular":[175],"value":[176],"decomposition":[177],"based":[178],"nuclear":[180],"norm,":[181],"optimal":[185],"can":[188],"be":[189],"obtained":[190],"subsequently.":[191],"Based":[192],"on":[193],"alternating":[195],"direction":[196],"multipliers,":[199],"effective":[201],"local":[202],"distributed":[204],"solvers":[205],"elaborated":[207],"solve":[209],"proposed":[211],"objective":[212],"function.":[213],"Extensive":[214],"experiments":[215],"have":[216],"demonstrated":[217],"superiority":[219],"compared":[222],"state-of-the-art":[225],"methods.":[227]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":9},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":1}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}
