{"id":"https://openalex.org/W2945288617","doi":"https://doi.org/10.1109/tnnls.2019.2906867","title":"Marginalized Multiview Ensemble Clustering","display_name":"Marginalized Multiview Ensemble Clustering","publication_year":2019,"publication_date":"2019-05-21","ids":{"openalex":"https://openalex.org/W2945288617","doi":"https://doi.org/10.1109/tnnls.2019.2906867","mag":"2945288617","pmid":"https://pubmed.ncbi.nlm.nih.gov/30990450"},"language":"en","primary_location":{"id":"doi:10.1109/tnnls.2019.2906867","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnnls.2019.2906867","pdf_url":null,"source":{"id":"https://openalex.org/S4210175523","display_name":"IEEE Transactions on Neural Networks and Learning Systems","issn_l":"2162-237X","issn":["2162-237X","2162-2388"],"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 Transactions on Neural Networks and Learning Systems","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"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/A5021486404","display_name":"Zhiqiang Tao","orcid":"https://orcid.org/0000-0002-5639-7540"},"institutions":[{"id":"https://openalex.org/I12912129","display_name":"Northeastern University","ror":"https://ror.org/04t5xt781","country_code":"US","type":"education","lineage":["https://openalex.org/I12912129"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Zhiqiang Tao","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Northeastern University, Boston, USA"],"raw_orcid":"https://orcid.org/0000-0002-5639-7540","affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Northeastern University, Boston, USA","institution_ids":["https://openalex.org/I12912129"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101987910","display_name":"Hongfu Liu","orcid":"https://orcid.org/0000-0002-0821-8640"},"institutions":[{"id":"https://openalex.org/I6902469","display_name":"Brandeis University","ror":"https://ror.org/05abbep66","country_code":"US","type":"education","lineage":["https://openalex.org/I6902469"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Hongfu Liu","raw_affiliation_strings":["Michtom School of Computer Science, Brandeis University, Waltham, USA"],"raw_orcid":"https://orcid.org/0000-0002-0821-8640","affiliations":[{"raw_affiliation_string":"Michtom School of Computer Science, Brandeis University, Waltham, USA","institution_ids":["https://openalex.org/I6902469"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100359839","display_name":"Sheng Li","orcid":"https://orcid.org/0000-0003-1205-8632"},"institutions":[{"id":"https://openalex.org/I165733156","display_name":"University of Georgia","ror":"https://ror.org/00te3t702","country_code":"US","type":"education","lineage":["https://openalex.org/I165733156"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Sheng Li","raw_affiliation_strings":["Department of Computer Science, University of Georgia, Athens, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of Georgia, Athens, USA","institution_ids":["https://openalex.org/I165733156"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5083458247","display_name":"Zhengming Ding","orcid":"https://orcid.org/0000-0002-6994-5278"},"institutions":[{"id":"https://openalex.org/I55769427","display_name":"Indiana University \u2013 Purdue University Indianapolis","ror":"https://ror.org/05gxnyn08","country_code":"US","type":"education","lineage":["https://openalex.org/I55769427","https://openalex.org/I592451"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Zhengming Ding","raw_affiliation_strings":["Department of Computer, Information and Technology, Indiana University-Purdue University Indianapolis, Indianapolis, USA"],"raw_orcid":"https://orcid.org/0000-0002-6994-5278","affiliations":[{"raw_affiliation_string":"Department of Computer, Information and Technology, Indiana University-Purdue University Indianapolis, Indianapolis, USA","institution_ids":["https://openalex.org/I55769427"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5005819096","display_name":"Yun Fu","orcid":"https://orcid.org/0000-0002-5098-2853"},"institutions":[{"id":"https://openalex.org/I12912129","display_name":"Northeastern University","ror":"https://ror.org/04t5xt781","country_code":"US","type":"education","lineage":["https://openalex.org/I12912129"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yun Fu","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Northeastern University, Boston, USA","Khoury College of Computer and Information Sciences, Northeastern University, Boston, USA"],"raw_orcid":"https://orcid.org/0000-0002-5098-2853","affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Northeastern University, Boston, USA","institution_ids":["https://openalex.org/I12912129"]},{"raw_affiliation_string":"Khoury College of Computer and Information Sciences, Northeastern University, Boston, USA","institution_ids":["https://openalex.org/I12912129"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":8.7138,"has_fulltext":false,"cited_by_count":110,"citation_normalized_percentile":{"value":0.98056151,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":100},"biblio":{"volume":"31","issue":"2","first_page":"600","last_page":"611"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10637","display_name":"Advanced Clustering Algorithms Research","score":0.9940999746322632,"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":0.9940999746322632,"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":0.9901999831199646,"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/T11439","display_name":"Video Analysis and Summarization","score":0.9890999794006348,"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":0.7022739052772522},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4397619366645813},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4277888536453247},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.36282283067703247},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.35132476687431335},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3504038155078888}],"concepts":[{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.7022739052772522},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4397619366645813},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4277888536453247},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.36282283067703247},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.35132476687431335},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3504038155078888}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1109/tnnls.2019.2906867","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnnls.2019.2906867","pdf_url":null,"source":{"id":"https://openalex.org/S4210175523","display_name":"IEEE Transactions on Neural Networks and Learning Systems","issn_l":"2162-237X","issn":["2162-237X","2162-2388"],"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 Transactions on Neural Networks and Learning Systems","raw_type":"journal-article"},{"id":"pmid:30990450","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/30990450","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on neural networks and learning systems","raw_type":null},{"id":"pmh:oai:scholarworks.indianapolis.iu.edu:1805/24600","is_oa":false,"landing_page_url":"https://hdl.handle.net/1805/24600","pdf_url":null,"source":{"id":"https://openalex.org/S4306400987","display_name":"IUScholarWorks (Indiana University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I592451","host_organization_name":"Indiana University","host_organization_lineage":["https://openalex.org/I592451"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Author","raw_type":"Conference proceedings"},{"id":"pmh:oai:scholarworks.iupui.edu:1805/24600","is_oa":false,"landing_page_url":"http://hdl.handle.net/1805/24600","pdf_url":null,"source":{"id":"https://openalex.org/S4306400987","display_name":"IUScholarWorks (Indiana University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I592451","host_organization_name":"Indiana University","host_organization_lineage":["https://openalex.org/I592451"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Author","raw_type":"Conference proceedings"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.8399999737739563,"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions"}],"awards":[{"id":"https://openalex.org/G3571051887","display_name":null,"funder_award_id":"W911NF-17-1-0367","funder_id":"https://openalex.org/F4320338281","funder_display_name":"Army Research Office"},{"id":"https://openalex.org/G7240389212","display_name":null,"funder_award_id":"1651902","funder_id":"https://openalex.org/F4320332179","funder_display_name":"Office of the Director"}],"funders":[{"id":"https://openalex.org/F4320332179","display_name":"Office of the Director","ror":"https://ror.org/04nseet23"},{"id":"https://openalex.org/F4320338281","display_name":"Army Research Office","ror":"https://ror.org/05epdh915"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":85,"referenced_works":["https://openalex.org/W79405465","https://openalex.org/W201974436","https://openalex.org/W297461772","https://openalex.org/W580709845","https://openalex.org/W1506806321","https://openalex.org/W1550614472","https://openalex.org/W1736339626","https://openalex.org/W1894767581","https://openalex.org/W1907775068","https://openalex.org/W1967761844","https://openalex.org/W1972061359","https://openalex.org/W1978259121","https://openalex.org/W1986007546","https://openalex.org/W1990063425","https://openalex.org/W1991311318","https://openalex.org/W1997201895","https://openalex.org/W2011494630","https://openalex.org/W2046025323","https://openalex.org/W2090101874","https://openalex.org/W2096873754","https://openalex.org/W2099111195","https://openalex.org/W2099660292","https://openalex.org/W2100549954","https://openalex.org/W2101324110","https://openalex.org/W2103972604","https://openalex.org/W2108502868","https://openalex.org/W2113333558","https://openalex.org/W2115346774","https://openalex.org/W2116984363","https://openalex.org/W2117420919","https://openalex.org/W2123576058","https://openalex.org/W2129630294","https://openalex.org/W2132914434","https://openalex.org/W2136922672","https://openalex.org/W2139280638","https://openalex.org/W2139850885","https://openalex.org/W2142674578","https://openalex.org/W2145094598","https://openalex.org/W2148029428","https://openalex.org/W2152478904","https://openalex.org/W2154415691","https://openalex.org/W2156387975","https://openalex.org/W2163922914","https://openalex.org/W2165874743","https://openalex.org/W2166049352","https://openalex.org/W2176433868","https://openalex.org/W2181159407","https://openalex.org/W2191937851","https://openalex.org/W2199534117","https://openalex.org/W2281948289","https://openalex.org/W2295423552","https://openalex.org/W2318949783","https://openalex.org/W2386997096","https://openalex.org/W2405459681","https://openalex.org/W2492869694","https://openalex.org/W2534029181","https://openalex.org/W2534244347","https://openalex.org/W2537295773","https://openalex.org/W2570942281","https://openalex.org/W2572663323","https://openalex.org/W2617902647","https://openalex.org/W2740464254","https://openalex.org/W2742098698","https://openalex.org/W2743926534","https://openalex.org/W2808219330","https://openalex.org/W2951085447","https://openalex.org/W2997574889","https://openalex.org/W4285719527","https://openalex.org/W6603183647","https://openalex.org/W6608209381","https://openalex.org/W6610472804","https://openalex.org/W6674764686","https://openalex.org/W6675134712","https://openalex.org/W6675164516","https://openalex.org/W6680905637","https://openalex.org/W6681096077","https://openalex.org/W6682889407","https://openalex.org/W6682991666","https://openalex.org/W6684578312","https://openalex.org/W6685357932","https://openalex.org/W6685423869","https://openalex.org/W6695692787","https://openalex.org/W6697109910","https://openalex.org/W6722891032","https://openalex.org/W6731815755"],"related_works":["https://openalex.org/W2772917594","https://openalex.org/W2036807459","https://openalex.org/W2058170566","https://openalex.org/W2755342338","https://openalex.org/W2166024367","https://openalex.org/W3116076068","https://openalex.org/W2229312674","https://openalex.org/W2951359407","https://openalex.org/W2079911747","https://openalex.org/W1969923398"],"abstract_inverted_index":{"Multiview":[0],"clustering":[1,62,75],"(MVC),":[2],"which":[3,89,141],"aims":[4],"to":[5,121,134,166,190,209],"explore":[6],"the":[7,25,49,60,108,115,123,128,136,163,169,175,227],"underlying":[8],"cluster":[9],"structure":[10],"shared":[11],"by":[12,59,149,187],"multiview":[13,73,112,236,249],"data,":[14],"has":[15],"drawn":[16],"more":[17],"research":[18],"efforts":[19],"in":[20,78,85,205],"recent":[21],"years.":[22],"To":[23],"exploit":[24],"complementary":[26,109],"information":[27,52,110,171],"among":[28],"multiple":[29],"views,":[30,46],"existing":[31],"methods":[32],"mainly":[33],"learn":[34],"a":[35,41,70,99,151,194,199,206],"common":[36],"latent":[37],"subspace":[38],"or":[39],"develop":[40],"certain":[42],"loss":[43],"across":[44],"different":[45],"while":[47],"ignoring":[48],"higher":[50],"level":[51],"such":[53],"as":[54,193],"basic":[55],"partitions":[56],"(BPs)":[57],"generated":[58],"single-view":[61],"algorithm.":[63],"In":[64,119],"light":[65],"of":[66,111,125,229],"this,":[67],"we":[68,82,105],"propose":[69],"novel":[71],"marginalized":[72,129],"ensemble":[74],"(M2VEC)":[76],"method":[77,244],"this":[79,103],"paper.":[80],"Specifically,":[81],"solve":[83],"MVC":[84],"an":[86],"EC":[87,238],"way,":[88],"generates":[90],"BPs":[91],"for":[92,98,146,215],"each":[93,147],"view":[94,148],"individually":[95],"and":[96,139,156,172,237],"seeks":[97],"consensus":[100,181],"one.":[101],"By":[102],"means,":[104],"naturally":[106],"leverage":[107],"data":[113,137,224],"upon":[114],"same":[116],"partition":[117],"space.":[118],"order":[120],"boost":[122],"robustness":[124],"our":[126,188,230,243],"approach,":[127],"denoising":[130,164],"process":[131,165],"is":[132,159,184,202],"adopted":[133],"mimic":[135],"corruptions":[138],"noises,":[140],"provides":[142],"robust":[143],"partition-level":[144,213],"representations":[145,214],"training":[150],"single-layer":[152],"autoencoder.":[153],"A":[154],"low-rank":[155],"sparse":[157],"decomposition":[158],"seamlessly":[160],"incorporated":[161],"into":[162,212],"explicitly":[167],"capture":[168],"consistency":[170],"meanwhile":[173],"compensate":[174],"distinctness":[176],"between":[177],"heterogeneous":[178],"features.":[179],"Spectral":[180],"graph":[182],"partitioning":[183],"also":[185,241],"involved":[186],"model":[189],"make":[191],"M2VEC":[192,201],"unified":[195],"optimization":[196],"framework.":[197],"Moreover,":[198],"multilayer":[200],"eventually":[203],"delivered":[204],"stacked":[207],"fashion":[208],"encapsulate":[210],"nonlinearity":[211],"handling":[216],"complex":[217],"data.":[218,250],"Experimental":[219],"results":[220],"on":[221],"eight":[222],"real-world":[223],"sets":[225],"show":[226],"efficacy":[228],"approach":[231],"compared":[232],"with":[233,247],"several":[234],"state-of-the-art":[235],"methods.":[239],"We":[240],"showcase":[242],"performs":[245],"well":[246],"partial":[248]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":9},{"year":2024,"cited_by_count":21},{"year":2023,"cited_by_count":22},{"year":2022,"cited_by_count":19},{"year":2021,"cited_by_count":20},{"year":2020,"cited_by_count":11},{"year":2019,"cited_by_count":5}],"updated_date":"2026-07-29T09:40:50.615796","created_date":"2025-10-10T00:00:00"}