{"id":"https://openalex.org/W4307342518","doi":"https://doi.org/10.1109/tnnls.2022.3213756","title":"Deep Spectral Clustering With Constrained Laplacian Rank","display_name":"Deep Spectral Clustering With Constrained Laplacian Rank","publication_year":2022,"publication_date":"2022-11-03","ids":{"openalex":"https://openalex.org/W4307342518","doi":"https://doi.org/10.1109/tnnls.2022.3213756","pmid":"https://pubmed.ncbi.nlm.nih.gov/36288222"},"language":"en","primary_location":{"id":"doi:10.1109/tnnls.2022.3213756","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnnls.2022.3213756","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/A5106943753","display_name":"Xuelong Li","orcid":"https://orcid.org/0000-0003-2924-946X"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]},{"id":"https://openalex.org/I890469752","display_name":"Ministry of Industry and Information Technology","ror":"https://ror.org/0385nmy68","country_code":"CN","type":"government","lineage":["https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xuelong Li","raw_affiliation_strings":["School of Artificial intelligence, OPtics and ElectroNics (iOPEN), and the Key Laboratory of Intelligent Interaction and Applications, Ministry of Industry and Information Technology, Northwestern Polytechnical University, Xi’an, China"],"affiliations":[{"raw_affiliation_string":"School of Artificial intelligence, OPtics and ElectroNics (iOPEN), and the Key Laboratory of Intelligent Interaction and Applications, Ministry of Industry and Information Technology, Northwestern Polytechnical University, Xi’an, China","institution_ids":["https://openalex.org/I890469752","https://openalex.org/I17145004"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103045448","display_name":"Tengfei Wei","orcid":"https://orcid.org/0000-0002-7501-9932"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]},{"id":"https://openalex.org/I890469752","display_name":"Ministry of Industry and Information Technology","ror":"https://ror.org/0385nmy68","country_code":"CN","type":"government","lineage":["https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tengfei Wei","raw_affiliation_strings":["School of Artificial intelligence, OPtics and ElectroNics (iOPEN), and the Key Laboratory of Intelligent Interaction and Applications, Ministry of Industry and Information Technology, and the School of Computer Science, Northwestern Polytechnical University, Xi’an, China"],"affiliations":[{"raw_affiliation_string":"School of Artificial intelligence, OPtics and ElectroNics (iOPEN), and the Key Laboratory of Intelligent Interaction and Applications, Ministry of Industry and Information Technology, and the School of Computer Science, Northwestern Polytechnical University, Xi’an, China","institution_ids":["https://openalex.org/I890469752","https://openalex.org/I17145004"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5013718214","display_name":"Yang Zhao","orcid":"https://orcid.org/0000-0002-5140-5126"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]},{"id":"https://openalex.org/I890469752","display_name":"Ministry of Industry and Information Technology","ror":"https://ror.org/0385nmy68","country_code":"CN","type":"government","lineage":["https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yang Zhao","raw_affiliation_strings":["School of Artificial intelligence, OPtics and ElectroNics (iOPEN), and the Key Laboratory of Intelligent Interaction and Applications, Ministry of Industry and Information Technology, Northwestern Polytechnical University, Xi’an, China"],"affiliations":[{"raw_affiliation_string":"School of Artificial intelligence, OPtics and ElectroNics (iOPEN), and the Key Laboratory of Intelligent Interaction and Applications, Ministry of Industry and Information Technology, Northwestern Polytechnical University, Xi’an, China","institution_ids":["https://openalex.org/I890469752","https://openalex.org/I17145004"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5106943753"],"corresponding_institution_ids":["https://openalex.org/I17145004","https://openalex.org/I890469752"],"apc_list":null,"apc_paid":null,"fwci":0.917,"has_fulltext":false,"cited_by_count":11,"citation_normalized_percentile":{"value":0.75499542,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":"35","issue":"5","first_page":"7102","last_page":"7113"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10057","display_name":"Face and Expression Recognition","score":0.9937000274658203,"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":0.9937000274658203,"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/T10689","display_name":"Remote-Sensing Image Classification","score":0.9779000282287598,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T13731","display_name":"Advanced Computing and Algorithms","score":0.9757000207901001,"subfield":{"id":"https://openalex.org/subfields/3322","display_name":"Urban Studies"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.7434639930725098},{"id":"https://openalex.org/keywords/spectral-clustering","display_name":"Spectral clustering","score":0.7029103636741638},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6257349848747253},{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.5534253716468811},{"id":"https://openalex.org/keywords/rank","display_name":"Rank (graph theory)","score":0.5426732301712036},{"id":"https://openalex.org/keywords/orthogonality","display_name":"Orthogonality","score":0.535880982875824},{"id":"https://openalex.org/keywords/laplacian-matrix","display_name":"Laplacian matrix","score":0.4682501554489136},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.45244497060775757},{"id":"https://openalex.org/keywords/simple","display_name":"Simple (philosophy)","score":0.42643308639526367},{"id":"https://openalex.org/keywords/constraint","display_name":"Constraint (computer-aided design)","score":0.4261326789855957},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.41360044479370117},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.35494211316108704},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.3428039848804474},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.30242791771888733},{"id":"https://openalex.org/keywords/combinatorics","display_name":"Combinatorics","score":0.07501271367073059}],"concepts":[{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.7434639930725098},{"id":"https://openalex.org/C105611402","wikidata":"https://www.wikidata.org/wiki/Q2976589","display_name":"Spectral clustering","level":3,"score":0.7029103636741638},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6257349848747253},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.5534253716468811},{"id":"https://openalex.org/C164226766","wikidata":"https://www.wikidata.org/wiki/Q7293202","display_name":"Rank (graph theory)","level":2,"score":0.5426732301712036},{"id":"https://openalex.org/C17137986","wikidata":"https://www.wikidata.org/wiki/Q215067","display_name":"Orthogonality","level":2,"score":0.535880982875824},{"id":"https://openalex.org/C115178988","wikidata":"https://www.wikidata.org/wiki/Q772067","display_name":"Laplacian matrix","level":3,"score":0.4682501554489136},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.45244497060775757},{"id":"https://openalex.org/C2780586882","wikidata":"https://www.wikidata.org/wiki/Q7520643","display_name":"Simple (philosophy)","level":2,"score":0.42643308639526367},{"id":"https://openalex.org/C2776036281","wikidata":"https://www.wikidata.org/wiki/Q48769818","display_name":"Constraint (computer-aided design)","level":2,"score":0.4261326789855957},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.41360044479370117},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.35494211316108704},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3428039848804474},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.30242791771888733},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.07501271367073059},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tnnls.2022.3213756","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnnls.2022.3213756","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:36288222","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/36288222","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}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10","score":0.699999988079071}],"awards":[{"id":"https://openalex.org/G4820425477","display_name":null,"funder_award_id":"61871470","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5639814429","display_name":null,"funder_award_id":"62201471","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":62,"referenced_works":["https://openalex.org/W1574818812","https://openalex.org/W1606778734","https://openalex.org/W1978508564","https://openalex.org/W1981458038","https://openalex.org/W1992419399","https://openalex.org/W1993962865","https://openalex.org/W1997201895","https://openalex.org/W2088025572","https://openalex.org/W2089609272","https://openalex.org/W2120303002","https://openalex.org/W2132914434","https://openalex.org/W2141461755","https://openalex.org/W2151103935","https://openalex.org/W2161969291","https://openalex.org/W2577472518","https://openalex.org/W2605100742","https://openalex.org/W2740101263","https://openalex.org/W2782963495","https://openalex.org/W2792874300","https://openalex.org/W2809299793","https://openalex.org/W2894461463","https://openalex.org/W2906217954","https://openalex.org/W2917647353","https://openalex.org/W2953791858","https://openalex.org/W2962852342","https://openalex.org/W2963840432","https://openalex.org/W2969446213","https://openalex.org/W2982673118","https://openalex.org/W2997574889","https://openalex.org/W2997770686","https://openalex.org/W3002166600","https://openalex.org/W3003714054","https://openalex.org/W3033138310","https://openalex.org/W3035328911","https://openalex.org/W3040282388","https://openalex.org/W3041063529","https://openalex.org/W3044063956","https://openalex.org/W3120689699","https://openalex.org/W3160717585","https://openalex.org/W3179442710","https://openalex.org/W3179460971","https://openalex.org/W3196655882","https://openalex.org/W3204096038","https://openalex.org/W4224930898","https://openalex.org/W4230962939","https://openalex.org/W4240740736","https://openalex.org/W4250589301","https://openalex.org/W4250657332","https://openalex.org/W6607212033","https://openalex.org/W6680338019","https://openalex.org/W6681096077","https://openalex.org/W6684191040","https://openalex.org/W6684578312","https://openalex.org/W6685380521","https://openalex.org/W6718140377","https://openalex.org/W6732249622","https://openalex.org/W6741587593","https://openalex.org/W6744043827","https://openalex.org/W6747544821","https://openalex.org/W6784151099","https://openalex.org/W6788603753","https://openalex.org/W6791574661"],"related_works":["https://openalex.org/W2902850141","https://openalex.org/W2607797544","https://openalex.org/W2885900820","https://openalex.org/W1556852487","https://openalex.org/W2136935487","https://openalex.org/W2265158691","https://openalex.org/W1955548541","https://openalex.org/W2613055102","https://openalex.org/W2032317191","https://openalex.org/W2964122166"],"abstract_inverted_index":{"Spectral":[0],"clustering":[1,53,185],"(SC)":[2],"is":[3],"a":[4,49,69,74,91,109,166],"well-performed":[5],"and":[6,12,27,40,127,157],"prevalent":[7],"technique":[8],"for":[9,36],"data":[10,152],"processing":[11],"analysis,":[13],"which":[14,82,146],"has":[15,116],"attracted":[16],"significant":[17],"attention":[18],"in":[19,108,142],"the":[20,25,37,41,79,85,101,117,130,137,143,148,161,178],"field":[21],"of":[22,30,129,151,163,180],"clustering.":[23],"While":[24],"scalability":[26,128],"generalization":[28,125],"ability":[29,126],"this":[31,45],"method":[32,115],"make":[33],"it":[34,122,135,159],"prohibitive":[35],"large-scale":[38],"dataset":[39],"out-of-sample-extension":[42],"problem.":[43],"In":[44],"work,":[46],"we":[47],"propose":[48],"new":[50],"efficient":[51],"deep":[52,59],"architecture":[54],"based":[55],"on":[56,100],"SC,":[57],"named":[58],"SC":[60],"(DSC)":[61],"with":[62,73,96],"constrained":[63],"Laplacian":[64,80],"rank":[65],"(DSCCLR).":[66],"DSCCLR":[67,104,181],"develops":[68],"self-adaptive":[70],"affinity":[71,144],"matrix":[72],"clustering-friendly":[75],"structure":[76],"by":[77,89],"constraining":[78],"rank,":[81],"greatly":[83],"mines":[84],"intrinsic":[86,138],"relationships.":[87],"Meanwhile,":[88],"introducing":[90],"simple":[92,167],"fully":[93,170],"connected":[94,171],"network":[95],"an":[97],"orthogonality":[98],"constraint":[99],"last":[102],"layer,":[103],"learns":[105],"discriminative":[106],"representations":[107],"short":[110],"training":[111],"time.":[112],"The":[113,173],"proposed":[114],"following":[118],"salient":[119],"properties:":[120],"1)":[121],"overcomes":[123],"limited":[124],"existing":[131],"DSC":[132],"methods;":[133],"2)":[134],"explores":[136],"relationship":[139],"between":[140],"samples":[141],"matrix,":[145],"maintains":[147],"latent":[149],"manifold":[150],"as":[153,155],"much":[154],"possible;":[156],"3)":[158],"alleviates":[160],"complexity":[162],"eigendecomposition":[164],"via":[165],"but":[168],"effective":[169],"network.":[172],"extensive":[174],"empirical":[175],"results":[176],"demonstrate":[177],"superiorities":[179],"over":[182],"other":[183],"17":[184],"methods.":[186]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":3}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}