{"id":"https://openalex.org/W4407671944","doi":"https://doi.org/10.1177/1088467x251315633","title":"Graph guided local structure propagation for tensorial multi-view subspace clustering","display_name":"Graph guided local structure propagation for tensorial multi-view subspace clustering","publication_year":2025,"publication_date":"2025-02-17","ids":{"openalex":"https://openalex.org/W4407671944","doi":"https://doi.org/10.1177/1088467x251315633"},"language":"en","primary_location":{"id":"doi:10.1177/1088467x251315633","is_oa":false,"landing_page_url":"https://doi.org/10.1177/1088467x251315633","pdf_url":null,"source":{"id":"https://openalex.org/S2498839158","display_name":"Intelligent Data Analysis","issn_l":"1088-467X","issn":["1088-467X","1571-4128"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Intelligent Data Analysis: An International Journal","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/A5101977448","display_name":"Tao Zhang","orcid":"https://orcid.org/0000-0002-8359-3387"},"institutions":[{"id":"https://openalex.org/I78978612","display_name":"Yangzhou University","ror":"https://ror.org/03tqb8s11","country_code":"CN","type":"education","lineage":["https://openalex.org/I78978612"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Tao Zhang","raw_affiliation_strings":["School of Information Engineering, Yangzhou University, Yangzhou, Jiangsu, China"],"raw_orcid":"https://orcid.org/0000-0002-8359-3387","affiliations":[{"raw_affiliation_string":"School of Information Engineering, Yangzhou University, Yangzhou, Jiangsu, China","institution_ids":["https://openalex.org/I78978612"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5064860911","display_name":"Yan Qin","orcid":"https://orcid.org/0000-0002-4184-9022"},"institutions":[{"id":"https://openalex.org/I78978612","display_name":"Yangzhou University","ror":"https://ror.org/03tqb8s11","country_code":"CN","type":"education","lineage":["https://openalex.org/I78978612"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yan Qin","raw_affiliation_strings":["School of Information Engineering, Yangzhou University, Yangzhou, Jiangsu, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information Engineering, Yangzhou University, Yangzhou, Jiangsu, China","institution_ids":["https://openalex.org/I78978612"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5001870257","display_name":"Yizhang Wang","orcid":"https://orcid.org/0000-0002-0687-7802"},"institutions":[{"id":"https://openalex.org/I78978612","display_name":"Yangzhou University","ror":"https://ror.org/03tqb8s11","country_code":"CN","type":"education","lineage":["https://openalex.org/I78978612"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yizhang Wang","raw_affiliation_strings":["School of Information Engineering, Yangzhou University, Yangzhou, Jiangsu, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information Engineering, Yangzhou University, Yangzhou, Jiangsu, China","institution_ids":["https://openalex.org/I78978612"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5061132796","display_name":"Xiaobo Shen","orcid":"https://orcid.org/0000-0001-8494-4532"},"institutions":[{"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":"Xiaobo Shen","raw_affiliation_strings":["School of Computer and Engineering, Nanjing University of Science and Technology, Nanjing, Jiangsu, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer and Engineering, Nanjing University of Science and Technology, Nanjing, Jiangsu, China","institution_ids":["https://openalex.org/I36399199"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100371024","display_name":"Fan Liu","orcid":"https://orcid.org/0000-0001-8746-9845"},"institutions":[{"id":"https://openalex.org/I163340411","display_name":"Hohai University","ror":"https://ror.org/01wd4xt90","country_code":"CN","type":"education","lineage":["https://openalex.org/I163340411"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fan Liu","raw_affiliation_strings":["College of Computer and Information, Hohai University, Nanjing, Jiangsu, China"],"raw_orcid":"https://orcid.org/0000-0001-8746-9845","affiliations":[{"raw_affiliation_string":"College of Computer and Information, Hohai University, Nanjing, Jiangsu, China","institution_ids":["https://openalex.org/I163340411"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5101977448"],"corresponding_institution_ids":["https://openalex.org/I78978612"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.01783945,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"29","issue":"6","first_page":"1379","last_page":"1398"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9997000098228455,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9997000098228455,"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/T10057","display_name":"Face and Expression Recognition","score":0.9993000030517578,"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9986000061035156,"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":0.642798900604248},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.6065967679023743},{"id":"https://openalex.org/keywords/subspace-topology","display_name":"Subspace topology","score":0.5916663408279419},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5197533965110779},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.3960239291191101},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.36333757638931274}],"concepts":[{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.642798900604248},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.6065967679023743},{"id":"https://openalex.org/C32834561","wikidata":"https://www.wikidata.org/wiki/Q660730","display_name":"Subspace topology","level":2,"score":0.5916663408279419},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5197533965110779},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3960239291191101},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.36333757638931274}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1177/1088467x251315633","is_oa":false,"landing_page_url":"https://doi.org/10.1177/1088467x251315633","pdf_url":null,"source":{"id":"https://openalex.org/S2498839158","display_name":"Intelligent Data Analysis","issn_l":"1088-467X","issn":["1088-467X","1571-4128"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Intelligent Data Analysis: An International Journal","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G5830298717","display_name":null,"funder_award_id":"62176126","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7400425163","display_name":null,"funder_award_id":"62372155","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8730268472","display_name":null,"funder_award_id":"BK20230095","funder_id":"https://openalex.org/F4320322769","funder_display_name":"Natural Science Foundation of Jiangsu Province"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320322769","display_name":"Natural Science Foundation of Jiangsu Province","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":47,"referenced_works":["https://openalex.org/W1979089718","https://openalex.org/W1992426838","https://openalex.org/W1997201895","https://openalex.org/W2089088255","https://openalex.org/W2107034620","https://openalex.org/W2111854674","https://openalex.org/W2134529554","https://openalex.org/W2197707282","https://openalex.org/W2565835729","https://openalex.org/W2604723872","https://openalex.org/W2898541610","https://openalex.org/W2921065608","https://openalex.org/W2945444329","https://openalex.org/W2982056484","https://openalex.org/W2997969890","https://openalex.org/W2998004380","https://openalex.org/W3003714054","https://openalex.org/W3072262295","https://openalex.org/W3117306485","https://openalex.org/W3118054267","https://openalex.org/W3130503331","https://openalex.org/W3135064676","https://openalex.org/W3140079845","https://openalex.org/W3168752847","https://openalex.org/W3183553932","https://openalex.org/W3185773261","https://openalex.org/W3208283713","https://openalex.org/W3209503744","https://openalex.org/W4212873158","https://openalex.org/W4250589301","https://openalex.org/W4283827931","https://openalex.org/W4287887113","https://openalex.org/W4297141021","https://openalex.org/W4298149820","https://openalex.org/W4306913594","https://openalex.org/W4307052476","https://openalex.org/W4308950926","https://openalex.org/W4309039473","https://openalex.org/W4309660795","https://openalex.org/W4311749433","https://openalex.org/W4312238451","https://openalex.org/W4319262356","https://openalex.org/W4322487658","https://openalex.org/W4322762002","https://openalex.org/W4385682046","https://openalex.org/W4389295233","https://openalex.org/W4390970440"],"related_works":["https://openalex.org/W1980381208","https://openalex.org/W2364594919","https://openalex.org/W2167092671","https://openalex.org/W1861706286","https://openalex.org/W2219338811","https://openalex.org/W2149583853","https://openalex.org/W2143002539","https://openalex.org/W4293472652","https://openalex.org/W1120847856","https://openalex.org/W2130386332"],"abstract_inverted_index":{"Multi-view":[0],"subspace":[1],"clustering":[2],"(MSC)":[3],"is":[4],"widely":[5],"studied":[6],"owing":[7],"to":[8,11,40,47,88,107,119,152],"the":[9,13,49,53,58,62,67,71,84,97,103,108,114,121,127,135,141,154,166],"ability":[10],"capture":[12,29],"diverse":[14],"and":[15,56,101],"complementary":[16],"information":[17,31,60,106],"hidden":[18],"in":[19,52],"multiple":[20],"views.":[21],"As":[22],"a":[23,90],"representative":[24],"model,":[25],"tensorial":[26,79],"MSC":[27],"can":[28,138],"global":[30,142],"by":[32,125],"leveraging":[33],"high-order":[34],"correlations":[35],"across":[36],"various":[37],"perspectives,":[38],"leading":[39],"promising":[41],"results.":[42],"However,":[43],"this":[44],"approach":[45],"fails":[46],"reveal":[48,140],"local":[50,74,104],"structure":[51,75,105,144],"specific":[54],"view":[55],"ignores":[57],"prior":[59],"of":[61,129,159,168],"self-representation":[63,109,136],"tensor.":[64,110],"To":[65],"address":[66],"problems,":[68],"we":[69,82,112,147],"propose":[70],"novel":[72],"graph-guided":[73],"propagation":[76],"(GGLSP)":[77],"for":[78,95],"MSC.":[80],"First,":[81],"improve":[83],"adaptive":[85],"graph":[86,92],"model":[87],"acquire":[89],"fused":[91],"similarity":[93],"matrix":[94],"extracting":[96],"relationships":[98],"between":[99],"samples":[100],"propagating":[102],"Subsequently,":[111],"introduce":[113],"weighted":[115],"tensor":[116,122,137],"Schatten":[117],"p-norm":[118],"approximate":[120],"rank":[123],"function":[124],"exploiting":[126],"contributions":[128],"different":[130],"singular":[131],"values":[132],"so":[133],"that":[134],"better":[139],"low-rank":[143],"information.":[145],"Finally,":[146],"develop":[148],"two":[149],"efficient":[150],"algorithms":[151],"solve":[153],"optimization":[155],"problems.":[156],"Large":[157],"numbers":[158],"experiments":[160],"on":[161],"seven":[162],"popular":[163],"datasets":[164],"confirm":[165],"superiority":[167],"our":[169],"proposed":[170],"GGLSP.":[171]},"counts_by_year":[],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}