{"id":"https://openalex.org/W4411019638","doi":"https://doi.org/10.1109/tcss.2025.3564398","title":"A Universal Interpretable Multiview Clustering Framework: From Homogeneity to Heterogeneity","display_name":"A Universal Interpretable Multiview Clustering Framework: From Homogeneity to Heterogeneity","publication_year":2025,"publication_date":"2025-06-04","ids":{"openalex":"https://openalex.org/W4411019638","doi":"https://doi.org/10.1109/tcss.2025.3564398"},"language":"en","primary_location":{"id":"doi:10.1109/tcss.2025.3564398","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcss.2025.3564398","pdf_url":null,"source":{"id":"https://openalex.org/S2490693980","display_name":"IEEE Transactions on Computational Social Systems","issn_l":"2329-924X","issn":["2329-924X","2373-7476"],"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 Computational Social Systems","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/A5114734380","display_name":"Chunming Wu","orcid":"https://orcid.org/0009-0008-2723-8904"},"institutions":[{"id":"https://openalex.org/I80947539","display_name":"Fuzhou University","ror":"https://ror.org/011xvna82","country_code":"CN","type":"education","lineage":["https://openalex.org/I80947539"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Chunming Wu","raw_affiliation_strings":["College of Computer and Data Science, Fuzhou University, Fuzhou, China"],"affiliations":[{"raw_affiliation_string":"College of Computer and Data Science, Fuzhou University, Fuzhou, China","institution_ids":["https://openalex.org/I80947539"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5062894864","display_name":"Zihan Fang","orcid":"https://orcid.org/0000-0003-2009-9039"},"institutions":[{"id":"https://openalex.org/I80947539","display_name":"Fuzhou University","ror":"https://ror.org/011xvna82","country_code":"CN","type":"education","lineage":["https://openalex.org/I80947539"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zihan Fang","raw_affiliation_strings":["College of Computer and Data Science, Fuzhou University, Fuzhou, China"],"affiliations":[{"raw_affiliation_string":"College of Computer and Data Science, Fuzhou University, Fuzhou, China","institution_ids":["https://openalex.org/I80947539"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5091188575","display_name":"Shide Du","orcid":"https://orcid.org/0000-0002-6354-4705"},"institutions":[{"id":"https://openalex.org/I80947539","display_name":"Fuzhou University","ror":"https://ror.org/011xvna82","country_code":"CN","type":"education","lineage":["https://openalex.org/I80947539"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shide Du","raw_affiliation_strings":["College of Computer and Data Science, Fuzhou University, Fuzhou, China"],"affiliations":[{"raw_affiliation_string":"College of Computer and Data Science, Fuzhou University, Fuzhou, China","institution_ids":["https://openalex.org/I80947539"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100604225","display_name":"Shiping Wang","orcid":"https://orcid.org/0000-0001-5195-9682"},"institutions":[{"id":"https://openalex.org/I80947539","display_name":"Fuzhou University","ror":"https://ror.org/011xvna82","country_code":"CN","type":"education","lineage":["https://openalex.org/I80947539"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shiping Wang","raw_affiliation_strings":["College of Computer and Data Science, Fuzhou University, Fuzhou, China"],"affiliations":[{"raw_affiliation_string":"College of Computer and Data Science, Fuzhou University, Fuzhou, China","institution_ids":["https://openalex.org/I80947539"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5114734380"],"corresponding_institution_ids":["https://openalex.org/I80947539"],"apc_list":null,"apc_paid":null,"fwci":4.77,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.94522537,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":91,"max":98},"biblio":{"volume":"12","issue":"5","first_page":"3181","last_page":"3192"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10181","display_name":"Natural Language Processing Techniques","score":0.6288999915122986,"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/T10181","display_name":"Natural Language Processing Techniques","score":0.6288999915122986,"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/T10215","display_name":"Semantic Web and Ontologies","score":0.602400004863739,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/homogeneity","display_name":"Homogeneity (statistics)","score":0.7025302648544312},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.6751591563224792},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5453412532806396},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5276678204536438},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.38702428340911865},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3772643804550171},{"id":"https://openalex.org/keywords/econometrics","display_name":"Econometrics","score":0.347745418548584},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3105865716934204},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.28213030099868774}],"concepts":[{"id":"https://openalex.org/C142259097","wikidata":"https://www.wikidata.org/wiki/Q5891314","display_name":"Homogeneity (statistics)","level":2,"score":0.7025302648544312},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.6751591563224792},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5453412532806396},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5276678204536438},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.38702428340911865},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3772643804550171},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.347745418548584},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3105865716934204},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.28213030099868774}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tcss.2025.3564398","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcss.2025.3564398","pdf_url":null,"source":{"id":"https://openalex.org/S2490693980","display_name":"IEEE Transactions on Computational Social Systems","issn_l":"2329-924X","issn":["2329-924X","2373-7476"],"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 Computational Social Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":52,"referenced_works":["https://openalex.org/W2156718197","https://openalex.org/W2199534117","https://openalex.org/W2740464254","https://openalex.org/W2746923101","https://openalex.org/W2794558093","https://openalex.org/W2798559986","https://openalex.org/W2808361044","https://openalex.org/W2896169497","https://openalex.org/W2921065608","https://openalex.org/W2963749936","https://openalex.org/W2997546679","https://openalex.org/W2997739739","https://openalex.org/W3012918605","https://openalex.org/W3032942478","https://openalex.org/W3034903580","https://openalex.org/W3087781490","https://openalex.org/W3119006878","https://openalex.org/W3133902371","https://openalex.org/W3165231040","https://openalex.org/W3191244312","https://openalex.org/W3195106575","https://openalex.org/W3211860396","https://openalex.org/W3217558487","https://openalex.org/W4200226646","https://openalex.org/W4283792797","https://openalex.org/W4287891019","https://openalex.org/W4290927762","https://openalex.org/W4293195874","https://openalex.org/W4293416771","https://openalex.org/W4312564677","https://openalex.org/W4312622641","https://openalex.org/W4316655774","https://openalex.org/W4323914306","https://openalex.org/W4361859495","https://openalex.org/W4376863511","https://openalex.org/W4382317881","https://openalex.org/W4382460645","https://openalex.org/W4384161829","https://openalex.org/W4386071863","https://openalex.org/W4388052987","https://openalex.org/W4389057529","https://openalex.org/W4389987942","https://openalex.org/W4390873400","https://openalex.org/W4391305656","https://openalex.org/W4391984607","https://openalex.org/W4394595548","https://openalex.org/W4394862694","https://openalex.org/W4396843892","https://openalex.org/W4398764921","https://openalex.org/W4400881984","https://openalex.org/W4403780670","https://openalex.org/W4406163718"],"related_works":["https://openalex.org/W1999392235","https://openalex.org/W2055668825","https://openalex.org/W2059493168","https://openalex.org/W2371593620","https://openalex.org/W2156037511","https://openalex.org/W2572678357","https://openalex.org/W2019481703","https://openalex.org/W2024930283","https://openalex.org/W1568996612","https://openalex.org/W2321527279"],"abstract_inverted_index":{"Traditional":[0],"multiview":[1,32,58,91,107,115,170,202],"clustering":[2,33,59,83,111,171,180,217],"relies":[3],"on":[4,9,114,197],"manually-designed":[5],"optimization":[6,112,123],"problems":[7,113],"based":[8],"prior":[10],"interpretable":[11,82,101],"knowledge":[12],"to":[13,127,159,184,215],"cluster":[14],"objects":[15,190],"with":[16,139,191],"similar":[17,192],"attributes,":[18],"but":[19,44],"it":[20,45],"may":[21,46],"be":[22,47],"hindered":[23],"by":[24,37,49,53],"limited":[25],"feature":[26],"extraction":[27],"capability.":[28],"In":[29],"contrast,":[30],"deep":[31],"overcomes":[34],"this":[35,95],"limitation":[36],"utilizing":[38],"learning-based":[39],"nonlinear":[40],"transformations":[41],"for":[42,137,165,178],"clustering,":[43,138],"restricted":[48,69],"model":[50,148],"interpretability":[51],"caused":[52],"blackbox":[54],"networks.":[55],"Besides,":[56],"previous":[57],"methods":[60,108],"only":[61],"consider":[62],"homogeneous":[63,88,119,158,199],"or":[64],"heterogeneous":[65,90,160,201],"situations,":[66],"resulting":[67],"in":[68,118],"scalability":[70],"and":[71,89,109,134,173,200,208],"generalizability.":[72],"To":[73,93],"address":[74],"the":[75,100,122,140,152,179,187,205,211],"aforementioned":[76],"issues,":[77],"we":[78,98],"design":[79,103],"a":[80,166],"universal":[81],"framework":[84,213],"that":[85,131],"accommodates":[86],"both":[87,198],"scenarios.":[92],"realize":[94],"purpose:":[96],"1)":[97],"revisit":[99],"knowledge-driven":[102],"architecture":[104],"of":[105,143,169,210],"traditional":[106],"formulate":[110],"data":[116],"attributes":[117],"scenarios;":[120],"2)":[121],"problem":[124],"is":[125,155,182],"leveraged":[126],"derive":[128],"network":[129,145],"modules":[130],"learn":[132],"shared":[133],"self-expressive":[135],"representations":[136],"practical":[141],"meaning":[142],"each":[144],"component":[146],"providing":[147],"design-level":[149],"interpretability;":[150],"3)":[151],"proposed":[153,212],"method":[154],"extended":[156],"from":[157],"scenarios,":[161],"enhancing":[162],"its":[163],"universality":[164],"broader":[167],"spectrum":[168],"tasks;":[172],"4)":[174],"tailored":[175],"training":[176],"loss":[177],"task":[181],"employed":[183],"inversely":[185],"enhance":[186],"affinity":[188],"between":[189],"attributes.":[193],"Extensive":[194],"experimental":[195],"results":[196],"datasets":[203],"demonstrate":[204],"superior":[206],"effectiveness":[207],"adaptability":[209],"compared":[214],"state-of-the-art":[216],"methods.":[218]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1}],"updated_date":"2026-04-07T14:57:38.498316","created_date":"2025-10-10T00:00:00"}