{"id":"https://openalex.org/W2802754347","doi":"https://doi.org/10.1109/tip.2018.2825647","title":"Subspace Clustering via Learning an Adaptive Low-Rank Graph","display_name":"Subspace Clustering via Learning an Adaptive Low-Rank Graph","publication_year":2018,"publication_date":"2018-04-11","ids":{"openalex":"https://openalex.org/W2802754347","doi":"https://doi.org/10.1109/tip.2018.2825647","mag":"2802754347","pmid":"https://pubmed.ncbi.nlm.nih.gov/29698204"},"language":"en","primary_location":{"id":"doi:10.1109/tip.2018.2825647","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2018.2825647","pdf_url":null,"source":{"id":"https://openalex.org/S4210173141","display_name":"IEEE Transactions on Image Processing","issn_l":"1057-7149","issn":["1057-7149","1941-0042"],"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 Image Processing","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/A5101993864","display_name":"Ming Yin","orcid":"https://orcid.org/0000-0002-7037-1048"},"institutions":[{"id":"https://openalex.org/I139024713","display_name":"Guangdong University of Technology","ror":"https://ror.org/04azbjn80","country_code":"CN","type":"education","lineage":["https://openalex.org/I139024713"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Ming Yin","raw_affiliation_strings":["School of Automation, Guangdong University of Technology, Guangzhou, China"],"affiliations":[{"raw_affiliation_string":"School of Automation, Guangdong University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I139024713"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5043262479","display_name":"Shengli Xie","orcid":"https://orcid.org/0000-0003-2041-5214"},"institutions":[{"id":"https://openalex.org/I139024713","display_name":"Guangdong University of Technology","ror":"https://ror.org/04azbjn80","country_code":"CN","type":"education","lineage":["https://openalex.org/I139024713"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shengli Xie","raw_affiliation_strings":["School of Automation, Guangdong University of Technology, Guangzhou, China"],"affiliations":[{"raw_affiliation_string":"School of Automation, Guangdong University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I139024713"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5053349477","display_name":"Zongze Wu","orcid":"https://orcid.org/0000-0002-2115-8670"},"institutions":[{"id":"https://openalex.org/I139024713","display_name":"Guangdong University of Technology","ror":"https://ror.org/04azbjn80","country_code":"CN","type":"education","lineage":["https://openalex.org/I139024713"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zongze Wu","raw_affiliation_strings":["School of Automation, Guangdong University of Technology, Guangzhou, China"],"affiliations":[{"raw_affiliation_string":"School of Automation, Guangdong University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I139024713"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100356824","display_name":"Yun Zhang","orcid":null},"institutions":[{"id":"https://openalex.org/I139024713","display_name":"Guangdong University of Technology","ror":"https://ror.org/04azbjn80","country_code":"CN","type":"education","lineage":["https://openalex.org/I139024713"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yun Zhang","raw_affiliation_strings":["School of Automation, Guangdong University of Technology, Guangzhou, China"],"affiliations":[{"raw_affiliation_string":"School of Automation, Guangdong University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I139024713"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5015817857","display_name":"Junbin Gao","orcid":"https://orcid.org/0000-0001-9803-0256"},"institutions":[{"id":"https://openalex.org/I129604602","display_name":"The University of Sydney","ror":"https://ror.org/0384j8v12","country_code":"AU","type":"education","lineage":["https://openalex.org/I129604602"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Junbin Gao","raw_affiliation_strings":["The University of Sydney Business School, The University of Sydney, Camperdown, NSW, Australia"],"affiliations":[{"raw_affiliation_string":"The University of Sydney Business School, The University of Sydney, Camperdown, NSW, Australia","institution_ids":["https://openalex.org/I129604602"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5101993864"],"corresponding_institution_ids":["https://openalex.org/I139024713"],"apc_list":null,"apc_paid":null,"fwci":11.4396,"has_fulltext":false,"cited_by_count":100,"citation_normalized_percentile":{"value":0.99354316,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":100},"biblio":{"volume":"27","issue":"8","first_page":"3716","last_page":"3728"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9980999827384949,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9980999827384949,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"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/T10057","display_name":"Face and Expression Recognition","score":0.9968000054359436,"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":0.9908000230789185,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.8163906335830688},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.6267932057380676},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5278282761573792},{"id":"https://openalex.org/keywords/subspace-topology","display_name":"Subspace topology","score":0.5103973746299744},{"id":"https://openalex.org/keywords/rank","display_name":"Rank (graph theory)","score":0.48733147978782654},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4836907982826233},{"id":"https://openalex.org/keywords/correlation-clustering","display_name":"Correlation clustering","score":0.47739332914352417},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.4673255980014801},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4648745357990265},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.38332903385162354},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.28920507431030273},{"id":"https://openalex.org/keywords/combinatorics","display_name":"Combinatorics","score":0.10020047426223755}],"concepts":[{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.8163906335830688},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.6267932057380676},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5278282761573792},{"id":"https://openalex.org/C32834561","wikidata":"https://www.wikidata.org/wiki/Q660730","display_name":"Subspace topology","level":2,"score":0.5103973746299744},{"id":"https://openalex.org/C164226766","wikidata":"https://www.wikidata.org/wiki/Q7293202","display_name":"Rank (graph theory)","level":2,"score":0.48733147978782654},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4836907982826233},{"id":"https://openalex.org/C94641424","wikidata":"https://www.wikidata.org/wiki/Q5172845","display_name":"Correlation clustering","level":3,"score":0.47739332914352417},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.4673255980014801},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4648745357990265},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.38332903385162354},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.28920507431030273},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.10020047426223755},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tip.2018.2825647","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2018.2825647","pdf_url":null,"source":{"id":"https://openalex.org/S4210173141","display_name":"IEEE Transactions on Image Processing","issn_l":"1057-7149","issn":["1057-7149","1941-0042"],"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 Image Processing","raw_type":"journal-article"},{"id":"pmid:29698204","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/29698204","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 image processing : a publication of the IEEE Signal Processing Society","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1774465394","display_name":null,"funder_award_id":"2014A030308009","funder_id":"https://openalex.org/F4320321921","funder_display_name":"Natural Science Foundation of Guangdong Province"},{"id":"https://openalex.org/G2077582792","display_name":null,"funder_award_id":"61673124","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5011432853","display_name":null,"funder_award_id":"61703113","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5568488553","display_name":null,"funder_award_id":"61333013","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7565494205","display_name":null,"funder_award_id":"2017A010101024","funder_id":"https://openalex.org/F4320335795","funder_display_name":"Science and Technology Planning Project of Guangdong Province"},{"id":"https://openalex.org/G8031287920","display_name":null,"funder_award_id":"2014B090907010","funder_id":"https://openalex.org/F4320321921","funder_display_name":"Natural Science Foundation of Guangdong Province"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320321921","display_name":"Natural Science Foundation of Guangdong Province","ror":null},{"id":"https://openalex.org/F4320335795","display_name":"Science and Technology Planning Project of Guangdong Province","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":56,"referenced_works":["https://openalex.org/W79405465","https://openalex.org/W200673309","https://openalex.org/W1600471557","https://openalex.org/W1649622209","https://openalex.org/W1651575379","https://openalex.org/W1904464160","https://openalex.org/W1968154520","https://openalex.org/W1979089718","https://openalex.org/W1981458038","https://openalex.org/W1982851590","https://openalex.org/W1989267105","https://openalex.org/W1993962865","https://openalex.org/W1997201895","https://openalex.org/W2006533296","https://openalex.org/W2013015287","https://openalex.org/W2051230289","https://openalex.org/W2053186076","https://openalex.org/W2065220650","https://openalex.org/W2078204800","https://openalex.org/W2097308346","https://openalex.org/W2097323375","https://openalex.org/W2099660292","https://openalex.org/W2121947440","https://openalex.org/W2131828344","https://openalex.org/W2139823104","https://openalex.org/W2140245639","https://openalex.org/W2145152441","https://openalex.org/W2145962650","https://openalex.org/W2156718197","https://openalex.org/W2160915541","https://openalex.org/W2163939328","https://openalex.org/W2199534117","https://openalex.org/W2253163421","https://openalex.org/W2262946425","https://openalex.org/W2296131993","https://openalex.org/W2343516804","https://openalex.org/W2344260814","https://openalex.org/W2463532177","https://openalex.org/W2574931690","https://openalex.org/W2577472518","https://openalex.org/W2611328865","https://openalex.org/W2789696179","https://openalex.org/W3148981562","https://openalex.org/W4250657332","https://openalex.org/W4250955649","https://openalex.org/W6603183647","https://openalex.org/W6653944615","https://openalex.org/W6680434193","https://openalex.org/W6681535120","https://openalex.org/W6682755970","https://openalex.org/W6683265229","https://openalex.org/W6691615350","https://openalex.org/W6697521581","https://openalex.org/W6731661740","https://openalex.org/W6731795620","https://openalex.org/W6929385289"],"related_works":["https://openalex.org/W1999117613","https://openalex.org/W2040929534","https://openalex.org/W3022637481","https://openalex.org/W2393816671","https://openalex.org/W3120229345","https://openalex.org/W3144143113","https://openalex.org/W3039964395","https://openalex.org/W2804957450","https://openalex.org/W2111119584","https://openalex.org/W1887359504"],"abstract_inverted_index":{"By":[0],"using":[1,35,86],"a":[2,50,119,144],"sparse":[3],"representation":[4,7,37,57,139],"or":[5],"low-rank":[6,127],"of":[8,56],"data,":[9],"the":[10,31,36,41,45,79,91,95,111,134,138,149,170,176],"graph-based":[11],"subspace":[12,121],"clustering":[13,28,59,80,122],"has":[14],"recently":[15],"attracted":[16],"considerable":[17],"attention":[18],"in":[19,27,49,62,116,143,179],"computer":[20],"vision,":[21],"given":[22],"its":[23],"capability":[24],"and":[25,58,137,156],"efficiency":[26],"data.":[29],"However,":[30],"graph":[32,92,128,151],"weights":[33,96],"built":[34],"coefficients":[38,140],"are":[39,60,141],"not":[40],"exact":[42],"ones":[43],"as":[44],"traditional":[46],"definition":[47],"is":[48,76,106,131,153],"deterministic":[51],"way.":[52],"The":[53],"two":[54],"steps":[55],"conducted":[61],"an":[63,67,125],"independent":[64],"manner,":[65],"thus":[66],"overall":[68],"optimal":[69],"result":[70],"cannot":[71],"be":[72,83,101,160],"guaranteed.":[73],"Furthermore,":[74],"it":[75,105],"unclear":[77],"how":[78],"performance":[81,158],"will":[82],"affected":[84],"by":[85],"this":[87,114,117],"graph.":[88],"For":[89],"example,":[90],"parameters,":[93],"i.e.,":[94],"on":[97,164],"edges,":[98],"have":[99],"to":[100,109],"artificially":[102],"pre-specified":[103],"while":[104],"very":[107],"difficult":[108],"choose":[110],"optimum.":[112],"To":[113],"end,":[115],"paper,":[118],"novel":[120],"via":[123],"learning":[124],"adaptive":[126],"affinity":[129,135],"matrix":[130,136],"proposed,":[132],"where":[133],"learned":[142],"unified":[145],"framework.":[146],"As":[147],"such,":[148],"pre-computed":[150],"regularizer":[152],"effectively":[154],"obviated":[155],"better":[157,174],"can":[159],"achieved.":[161],"Experimental":[162],"results":[163],"several":[165],"famous":[166],"databases":[167],"demonstrate":[168],"that":[169],"proposed":[171],"method":[172],"performs":[173],"against":[175],"state-of-the-art":[177],"approaches,":[178],"clustering.":[180]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":7},{"year":2024,"cited_by_count":7},{"year":2023,"cited_by_count":9},{"year":2022,"cited_by_count":21},{"year":2021,"cited_by_count":20},{"year":2020,"cited_by_count":14},{"year":2019,"cited_by_count":14},{"year":2018,"cited_by_count":7}],"updated_date":"2026-03-27T14:29:43.386196","created_date":"2025-10-10T00:00:00"}
