{"id":"https://openalex.org/W4411232189","doi":"https://doi.org/10.1109/tnse.2025.3578315","title":"Semi-Supervised Adaptive Symmetric Nonnegative Matrix Factorization for Multi-View Clustering","display_name":"Semi-Supervised Adaptive Symmetric Nonnegative Matrix Factorization for Multi-View Clustering","publication_year":2025,"publication_date":"2025-06-12","ids":{"openalex":"https://openalex.org/W4411232189","doi":"https://doi.org/10.1109/tnse.2025.3578315"},"language":"en","primary_location":{"id":"doi:10.1109/tnse.2025.3578315","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnse.2025.3578315","pdf_url":null,"source":{"id":"https://openalex.org/S2484352698","display_name":"IEEE Transactions on Network Science and Engineering","issn_l":"2327-4697","issn":["2327-4697","2334-329X"],"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 Network Science and Engineering","raw_type":"journal-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/A5037332127","display_name":"Mehrnoush Mohammadi","orcid":"https://orcid.org/0000-0001-9596-7414"},"institutions":[{"id":"https://openalex.org/I165143802","display_name":"University of Queensland","ror":"https://ror.org/00rqy9422","country_code":"AU","type":"education","lineage":["https://openalex.org/I165143802"]}],"countries":["AU"],"is_corresponding":true,"raw_author_name":"Mehrnoush Mohammadi","raw_affiliation_strings":["School of Electrical Engineering and Computer Science, The University of Queensland, Brisbane, Australia"],"affiliations":[{"raw_affiliation_string":"School of Electrical Engineering and Computer Science, The University of Queensland, Brisbane, Australia","institution_ids":["https://openalex.org/I165143802"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5065051130","display_name":"Kamal Berahmand","orcid":"https://orcid.org/0000-0003-4459-0703"},"institutions":[{"id":"https://openalex.org/I82951845","display_name":"RMIT University","ror":"https://ror.org/04ttjf776","country_code":"AU","type":"education","lineage":["https://openalex.org/I82951845"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Kamal Berahmand","raw_affiliation_strings":["School of Engineering, RMIT University, Melbourne, VIC, Australia"],"affiliations":[{"raw_affiliation_string":"School of Engineering, RMIT University, Melbourne, VIC, Australia","institution_ids":["https://openalex.org/I82951845"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5080469275","display_name":"Shadi Azizi","orcid":"https://orcid.org/0000-0003-0093-6303"},"institutions":[{"id":"https://openalex.org/I23946033","display_name":"University of Tehran","ror":"https://ror.org/05vf56z40","country_code":"IR","type":"education","lineage":["https://openalex.org/I23946033"]}],"countries":["IR"],"is_corresponding":false,"raw_author_name":"Shadi Azizi","raw_affiliation_strings":["Department of Computer Engineering, University of Tehran, Tehran, Iran"],"affiliations":[{"raw_affiliation_string":"Department of Computer Engineering, University of Tehran, Tehran, Iran","institution_ids":["https://openalex.org/I23946033"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5032964058","display_name":"Razieh Sheikhpour","orcid":"https://orcid.org/0000-0002-3119-3349"},"institutions":[{"id":"https://openalex.org/I4392738095","display_name":"Ardakan University","ror":"https://ror.org/04kpdmm83","country_code":null,"type":"education","lineage":["https://openalex.org/I4392738095"]}],"countries":["IR"],"is_corresponding":false,"raw_author_name":"Razieh Sheikhpour","raw_affiliation_strings":["Department of Computer Engineering, Faculty of Engineering, Ardakan University, Ardakan, Iran"],"affiliations":[{"raw_affiliation_string":"Department of Computer Engineering, Faculty of Engineering, Ardakan University, Ardakan, Iran","institution_ids":["https://openalex.org/I4392738095"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5007067645","display_name":"Hassan Khosravi","orcid":"https://orcid.org/0000-0001-8664-6117"},"institutions":[{"id":"https://openalex.org/I165143802","display_name":"University of Queensland","ror":"https://ror.org/00rqy9422","country_code":"AU","type":"education","lineage":["https://openalex.org/I165143802"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Hassan Khosravi","raw_affiliation_strings":["Institute for Teaching and Learning Innovation, The University of Queensland, Brisbane, Australia"],"affiliations":[{"raw_affiliation_string":"Institute for Teaching and Learning Innovation, The University of Queensland, Brisbane, Australia","institution_ids":["https://openalex.org/I165143802"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5037332127"],"corresponding_institution_ids":["https://openalex.org/I165143802"],"apc_list":null,"apc_paid":null,"fwci":22.2776,"has_fulltext":false,"cited_by_count":17,"citation_normalized_percentile":{"value":0.99583845,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":99,"max":100},"biblio":{"volume":"12","issue":"6","first_page":"4967","last_page":"4981"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10057","display_name":"Face and Expression Recognition","score":0.9715999960899353,"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":0.9715999960899353,"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/matrix-decomposition","display_name":"Matrix decomposition","score":0.6576979756355286},{"id":"https://openalex.org/keywords/non-negative-matrix-factorization","display_name":"Non-negative matrix factorization","score":0.6328939199447632},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.5698255300521851},{"id":"https://openalex.org/keywords/symmetric-matrix","display_name":"Symmetric matrix","score":0.524043619632721},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5138404965400696},{"id":"https://openalex.org/keywords/matrix-algebra","display_name":"Matrix algebra","score":0.4746735095977783},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.4496857523918152},{"id":"https://openalex.org/keywords/factorization","display_name":"Factorization","score":0.42228686809539795},{"id":"https://openalex.org/keywords/matrix","display_name":"Matrix (chemical analysis)","score":0.4113695025444031},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.35062891244888306},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3491007089614868},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.2881796658039093},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.17597049474716187},{"id":"https://openalex.org/keywords/eigenvalues-and-eigenvectors","display_name":"Eigenvalues and eigenvectors","score":0.10154581069946289}],"concepts":[{"id":"https://openalex.org/C42355184","wikidata":"https://www.wikidata.org/wiki/Q1361088","display_name":"Matrix decomposition","level":3,"score":0.6576979756355286},{"id":"https://openalex.org/C152671427","wikidata":"https://www.wikidata.org/wiki/Q10843505","display_name":"Non-negative matrix factorization","level":4,"score":0.6328939199447632},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.5698255300521851},{"id":"https://openalex.org/C54848796","wikidata":"https://www.wikidata.org/wiki/Q339011","display_name":"Symmetric matrix","level":3,"score":0.524043619632721},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5138404965400696},{"id":"https://openalex.org/C2988995629","wikidata":"https://www.wikidata.org/wiki/Q2915729","display_name":"Matrix algebra","level":3,"score":0.4746735095977783},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4496857523918152},{"id":"https://openalex.org/C187834632","wikidata":"https://www.wikidata.org/wiki/Q188804","display_name":"Factorization","level":2,"score":0.42228686809539795},{"id":"https://openalex.org/C106487976","wikidata":"https://www.wikidata.org/wiki/Q685816","display_name":"Matrix (chemical analysis)","level":2,"score":0.4113695025444031},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.35062891244888306},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3491007089614868},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.2881796658039093},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.17597049474716187},{"id":"https://openalex.org/C158693339","wikidata":"https://www.wikidata.org/wiki/Q190524","display_name":"Eigenvalues and eigenvectors","level":2,"score":0.10154581069946289},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"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/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tnse.2025.3578315","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnse.2025.3578315","pdf_url":null,"source":{"id":"https://openalex.org/S2484352698","display_name":"IEEE Transactions on Network Science and Engineering","issn_l":"2327-4697","issn":["2327-4697","2334-329X"],"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 Network Science and Engineering","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":50,"referenced_works":["https://openalex.org/W1084418525","https://openalex.org/W1504886279","https://openalex.org/W1966286510","https://openalex.org/W2013531086","https://openalex.org/W2103788722","https://openalex.org/W2145725490","https://openalex.org/W2405459681","https://openalex.org/W2526561371","https://openalex.org/W2605146283","https://openalex.org/W2752190933","https://openalex.org/W2804454015","https://openalex.org/W2809368372","https://openalex.org/W2892757326","https://openalex.org/W2952479574","https://openalex.org/W2989044887","https://openalex.org/W2995857167","https://openalex.org/W3006634967","https://openalex.org/W3008534764","https://openalex.org/W3010905193","https://openalex.org/W3013427529","https://openalex.org/W3015232403","https://openalex.org/W3022399687","https://openalex.org/W3031222062","https://openalex.org/W3084047821","https://openalex.org/W3094590900","https://openalex.org/W3122870122","https://openalex.org/W3131359498","https://openalex.org/W3183553932","https://openalex.org/W3202998373","https://openalex.org/W3214972734","https://openalex.org/W4220724033","https://openalex.org/W4250589301","https://openalex.org/W4293183114","https://openalex.org/W4296773798","https://openalex.org/W4310013152","https://openalex.org/W4312209802","https://openalex.org/W4312856860","https://openalex.org/W4323266540","https://openalex.org/W4328007633","https://openalex.org/W4367016851","https://openalex.org/W4386071229","https://openalex.org/W4388766831","https://openalex.org/W4390873400","https://openalex.org/W4391999067","https://openalex.org/W4393148503","https://openalex.org/W4400112754","https://openalex.org/W4401075669","https://openalex.org/W4402350678","https://openalex.org/W4404914849","https://openalex.org/W4414260826"],"related_works":["https://openalex.org/W2127243424","https://openalex.org/W4390394189","https://openalex.org/W2037504162","https://openalex.org/W2539013788","https://openalex.org/W2792706544","https://openalex.org/W1568451138","https://openalex.org/W2156699640","https://openalex.org/W2045265907","https://openalex.org/W2972997031","https://openalex.org/W2069570686"],"abstract_inverted_index":{"Multi-view":[0],"clustering":[1,125,218],"(MVC)":[2],"has":[3],"gained":[4],"attention":[5],"for":[6,39,216],"its":[7,40,151,212],"ability":[8,41],"to":[9,42,104,159,170],"efficiently":[10],"handle":[11],"complex":[12],"high-dimensional":[13],"data.":[14],"Many":[15],"existing":[16,51],"MVC":[17],"methods":[18],"rely":[19],"on":[20,95,199],"a":[21,121,176],"technique":[22],"known":[23],"as":[24],"Nonnegative":[25,32],"Matrix":[26,33],"Factorization":[27,34],"(NMF).":[28],"Among":[29],"these,":[30],"Symmetric":[31,130],"(SNMF)":[35],"notably":[36],"stands":[37],"out":[38],"reduce":[43],"dimensionality":[44],"and":[45,137,174,182,214],"provide":[46],"easily":[47],"interpretable":[48],"representations.":[49],"However,":[50],"research":[52],"highlights":[53],"several":[54],"challenges":[55],"associated":[56],"with":[57,194],"SNMF.":[58],"Firstly,":[59],"it":[60,93,102],"often":[61],"necessitates":[62],"the":[63,67,85,106,140],"manual":[64],"creation":[65],"of":[66,88,166],"similarity":[68,156],"matrix,":[69],"which":[70,133],"can":[71],"be":[72],"effort-intensive.":[73],"Additionally,":[74],"SNMF":[75,141],"intrinsically":[76],"employs":[77],"an":[78,190],"unsupervised":[79],"learning":[80,136],"approach,":[81],"thus":[82],"inherently":[83],"neglecting":[84],"potential":[86],"utility":[87],"label":[89],"information.":[90],"Lastly,":[91],"while":[92],"concentrates":[94],"identifying":[96],"shared":[97],"information":[98,169,184],"within":[99],"multi-view":[100,124,217],"data,":[101],"tends":[103],"overlook":[105],"valuable":[107],"insights":[108],"that":[109,179,204],"different":[110],"views":[111],"might":[112],"individually":[113],"present.":[114],"To":[115],"overcome":[116],"these":[117],"limitations,":[118],"we":[119],"propose":[120],"novel":[122],"semi-supervised":[123],"framework,":[126],"termed":[127],"Semi-supervised":[128],"Adaptive":[129],"NMF":[131],"(SSA-SNMF),":[132],"integrates":[134],"adaptive":[135,155],"supervision":[138],"into":[139,150],"model.":[142],"The":[143],"proposed":[144],"method":[145],"incorporates":[146],"three":[147],"essential":[148],"components":[149],"objective":[152],"function:":[153],"(1)":[154],"matrix":[157],"construction":[158],"automatically":[160],"capture":[161],"data":[162],"relationships,":[163],"(2)":[164],"integration":[165],"pairwise":[167],"constraint":[168],"leverage":[171],"available":[172],"supervision,":[173],"(3)":[175],"fusion":[177],"mechanism":[178],"balances":[180],"complementary":[181],"consensus":[183],"across":[185],"views.":[186],"We":[187],"also":[188],"derive":[189],"efficient":[191],"optimization":[192],"algorithm":[193],"convergence":[195],"guarantees.":[196],"Experimental":[197],"results":[198],"six":[200,208],"benchmark":[201],"datasets":[202],"show":[203],"SSA-SNMF":[205],"consistently":[206],"outperforms":[207],"state-of-the-art":[209],"methods,":[210],"demonstrating":[211],"effectiveness":[213],"robustness":[215],"tasks.":[219]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":15}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}