{"id":"https://openalex.org/W3198242335","doi":"https://doi.org/10.1109/tnnls.2021.3106702","title":"Robust Discriminant Subspace Clustering With Adaptive Local Structure Embedding","display_name":"Robust Discriminant Subspace Clustering With Adaptive Local Structure Embedding","publication_year":2021,"publication_date":"2021-09-06","ids":{"openalex":"https://openalex.org/W3198242335","doi":"https://doi.org/10.1109/tnnls.2021.3106702","mag":"3198242335","pmid":"https://pubmed.ncbi.nlm.nih.gov/34487499"},"language":"en","primary_location":{"id":"doi:10.1109/tnnls.2021.3106702","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnnls.2021.3106702","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/A5008141779","display_name":"Junyan Liu","orcid":"https://orcid.org/0000-0003-0335-3381"},"institutions":[{"id":"https://openalex.org/I41198531","display_name":"Nanjing University of Posts and Telecommunications","ror":"https://ror.org/043bpky34","country_code":"CN","type":"education","lineage":["https://openalex.org/I41198531"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Junyan Liu","raw_affiliation_strings":["College of Telecommunications and Information Engineering, Nanjing University of Posts and Telecommunications, Nanjing, China"],"raw_orcid":"https://orcid.org/0000-0003-0335-3381","affiliations":[{"raw_affiliation_string":"College of Telecommunications and Information Engineering, Nanjing University of Posts and Telecommunications, Nanjing, China","institution_ids":["https://openalex.org/I41198531"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5049145146","display_name":"Dapeng Li","orcid":"https://orcid.org/0000-0002-0749-0001"},"institutions":[{"id":"https://openalex.org/I41198531","display_name":"Nanjing University of Posts and Telecommunications","ror":"https://ror.org/043bpky34","country_code":"CN","type":"education","lineage":["https://openalex.org/I41198531"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dapeng Li","raw_affiliation_strings":["College of Telecommunications and Information Engineering, Nanjing University of Posts and Telecommunications, Nanjing, China","Key Laboratory of Broadband Wireless Communication and Sensor Network Technology, Ministry of Education, Nanjing University of Posts and Telecommunications, Nanjing, China"],"raw_orcid":"https://orcid.org/0000-0002-0749-0001","affiliations":[{"raw_affiliation_string":"College of Telecommunications and Information Engineering, Nanjing University of Posts and Telecommunications, Nanjing, China","institution_ids":["https://openalex.org/I41198531"]},{"raw_affiliation_string":"Key Laboratory of Broadband Wireless Communication and Sensor Network Technology, Ministry of Education, Nanjing University of Posts and Telecommunications, Nanjing, China","institution_ids":["https://openalex.org/I41198531"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100390094","display_name":"Haitao Zhao","orcid":"https://orcid.org/0000-0002-3539-3532"},"institutions":[{"id":"https://openalex.org/I41198531","display_name":"Nanjing University of Posts and Telecommunications","ror":"https://ror.org/043bpky34","country_code":"CN","type":"education","lineage":["https://openalex.org/I41198531"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haitao Zhao","raw_affiliation_strings":["College of Telecommunications and Information Engineering, Nanjing University of Posts and Telecommunications, Nanjing, China"],"raw_orcid":"https://orcid.org/0000-0002-3539-3532","affiliations":[{"raw_affiliation_string":"College of Telecommunications and Information Engineering, Nanjing University of Posts and Telecommunications, Nanjing, China","institution_ids":["https://openalex.org/I41198531"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5042180402","display_name":"Lin Gao","orcid":"https://orcid.org/0000-0002-0142-1515"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lin Gao","raw_affiliation_strings":["Department of Electronic and Information Engineering, Harbin Institute of Technology, Guangdong, Shenzhen, China"],"raw_orcid":"https://orcid.org/0000-0002-0142-1515","affiliations":[{"raw_affiliation_string":"Department of Electronic and Information Engineering, Harbin Institute of Technology, Guangdong, Shenzhen, China","institution_ids":["https://openalex.org/I204983213"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.2827,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.55063176,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"34","issue":"5","first_page":"2466","last_page":"2479"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10057","display_name":"Face and Expression Recognition","score":0.9991999864578247,"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":0.9991999864578247,"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":0.9926000237464905,"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/T11550","display_name":"Text and Document Classification Technologies","score":0.9916999936103821,"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/cluster-analysis","display_name":"Cluster analysis","score":0.7593958377838135},{"id":"https://openalex.org/keywords/dimensionality-reduction","display_name":"Dimensionality reduction","score":0.5507385730743408},{"id":"https://openalex.org/keywords/subspace-topology","display_name":"Subspace topology","score":0.5411497950553894},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5196586847305298},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.48875975608825684},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4848936200141907},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.47533392906188965},{"id":"https://openalex.org/keywords/constrained-clustering","display_name":"Constrained clustering","score":0.4435116946697235},{"id":"https://openalex.org/keywords/correlation-clustering","display_name":"Correlation clustering","score":0.4285736680030823},{"id":"https://openalex.org/keywords/cure-data-clustering-algorithm","display_name":"CURE data clustering algorithm","score":0.27241092920303345}],"concepts":[{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.7593958377838135},{"id":"https://openalex.org/C70518039","wikidata":"https://www.wikidata.org/wiki/Q16000077","display_name":"Dimensionality reduction","level":2,"score":0.5507385730743408},{"id":"https://openalex.org/C32834561","wikidata":"https://www.wikidata.org/wiki/Q660730","display_name":"Subspace topology","level":2,"score":0.5411497950553894},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5196586847305298},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.48875975608825684},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4848936200141907},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.47533392906188965},{"id":"https://openalex.org/C27964816","wikidata":"https://www.wikidata.org/wiki/Q5164359","display_name":"Constrained clustering","level":5,"score":0.4435116946697235},{"id":"https://openalex.org/C94641424","wikidata":"https://www.wikidata.org/wiki/Q5172845","display_name":"Correlation clustering","level":3,"score":0.4285736680030823},{"id":"https://openalex.org/C33704608","wikidata":"https://www.wikidata.org/wiki/Q5014717","display_name":"CURE data clustering algorithm","level":4,"score":0.27241092920303345}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tnnls.2021.3106702","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnnls.2021.3106702","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:34487499","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/34487499","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":[{"score":0.6499999761581421,"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10"}],"awards":[{"id":"https://openalex.org/G2857366090","display_name":"\u670d\u52a1\u9a71\u52a8\u7684\u9ad8\u52a8\u6001\u5f02\u6784\u7f51\u7edc\u8fde\u901a\u8d44\u6e90\u6a21\u578b\u4e0e\u63a5\u5165\u63a7\u5236\u65b9\u6cd5\u7814\u7a76","funder_award_id":"61771252","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3853928575","display_name":null,"funder_award_id":"61801240","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4063955539","display_name":null,"funder_award_id":"2019YFB2103004","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G5420921144","display_name":null,"funder_award_id":"18KJA510004","funder_id":"https://openalex.org/F4320329893","funder_display_name":"Key University Science Research Project of Jiangsu Province"},{"id":"https://openalex.org/G666793759","display_name":null,"funder_award_id":"2020YFB1806608","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G7108851533","display_name":"\u5927\u6570\u636e\u9a71\u52a8\u7684\u5f02\u6784\u65e0\u7ebf\u7f51\u7edc\u7528\u6237\u4f53\u9a8c\u8d28\u91cfQoE\u4f18\u5316\u6280\u672f\u7814\u7a76","funder_award_id":"61772287","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7331719093","display_name":null,"funder_award_id":"18KJA510005","funder_id":"https://openalex.org/F4320329893","funder_display_name":"Key University Science Research Project 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/F4320323268","display_name":"Nanjing University of Posts and Telecommunications","ror":"https://ror.org/043bpky34"},{"id":"https://openalex.org/F4320329893","display_name":"Key University Science Research Project of Jiangsu Province","ror":null},{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":72,"referenced_works":["https://openalex.org/W62203920","https://openalex.org/W108615132","https://openalex.org/W191001584","https://openalex.org/W199797433","https://openalex.org/W1600471557","https://openalex.org/W1884731728","https://openalex.org/W1931947167","https://openalex.org/W1972908405","https://openalex.org/W1979089718","https://openalex.org/W1993962865","https://openalex.org/W1997201895","https://openalex.org/W2009501510","https://openalex.org/W2017441234","https://openalex.org/W2028302281","https://openalex.org/W2064210461","https://openalex.org/W2073459066","https://openalex.org/W2088025572","https://openalex.org/W2097366995","https://openalex.org/W2100659887","https://openalex.org/W2108119513","https://openalex.org/W2116019577","https://openalex.org/W2116867037","https://openalex.org/W2125027820","https://openalex.org/W2135029798","https://openalex.org/W2138507544","https://openalex.org/W2143103810","https://openalex.org/W2152758153","https://openalex.org/W2154455818","https://openalex.org/W2168103112","https://openalex.org/W2314735922","https://openalex.org/W2358698356","https://openalex.org/W2380042537","https://openalex.org/W2402014506","https://openalex.org/W2422268042","https://openalex.org/W2532206188","https://openalex.org/W2548393348","https://openalex.org/W2569859441","https://openalex.org/W2571268788","https://openalex.org/W2571899125","https://openalex.org/W2575552627","https://openalex.org/W2577472518","https://openalex.org/W2604632143","https://openalex.org/W2742050142","https://openalex.org/W2758049963","https://openalex.org/W2776219942","https://openalex.org/W2798534672","https://openalex.org/W2809034148","https://openalex.org/W2905621769","https://openalex.org/W2909506380","https://openalex.org/W2951019399","https://openalex.org/W2954752948","https://openalex.org/W2962852342","https://openalex.org/W2963365397","https://openalex.org/W2963764968","https://openalex.org/W2963840432","https://openalex.org/W2969761511","https://openalex.org/W2971826129","https://openalex.org/W3008739840","https://openalex.org/W3047432317","https://openalex.org/W4226139248","https://openalex.org/W4240740736","https://openalex.org/W6602535662","https://openalex.org/W6604370024","https://openalex.org/W6640419445","https://openalex.org/W6652451885","https://openalex.org/W6668990524","https://openalex.org/W6674755931","https://openalex.org/W6680012447","https://openalex.org/W6682494755","https://openalex.org/W6732395776","https://openalex.org/W6744043827","https://openalex.org/W6811254197"],"related_works":["https://openalex.org/W2951567704","https://openalex.org/W2535986621","https://openalex.org/W2040929534","https://openalex.org/W2773356553","https://openalex.org/W4388110928","https://openalex.org/W2607137685","https://openalex.org/W2311450085","https://openalex.org/W2609148028","https://openalex.org/W2106080381","https://openalex.org/W2293953271"],"abstract_inverted_index":{"Unsupervised":[0],"dimension":[1,82],"reduction":[2,83],"and":[3,49,84,156,221],"clustering":[4,14,21,38,68,85,219],"are":[5],"frequently":[6],"used":[7],"as":[8,143],"two":[9],"separate":[10],"steps":[11],"to":[12,112,124,172,181],"conduct":[13],"tasks":[15],"in":[16,30,52],"subspace.":[17,32],"However,":[18],"the":[19,27,31,35,43,46,53,58,77,114,122,129,139,149,153,157,163,174,179,184,187],"two-step":[20],"methods":[22,39,79],"may":[23],"not":[24,41],"necessarily":[25],"reflect":[26],"cluster":[28],"structure":[29,51,73],"In":[33,136],"addition,":[34],"existing":[36,78],"subspace":[37,66],"do":[40],"consider":[42],"relationship":[44],"between":[45,152],"low-dimensional":[47,134,154],"representation":[48],"local":[50,72,115],"input":[54],"space.":[55,159],"To":[56],"address":[57],"above":[59],"issues,":[60],"we":[61],"propose":[62],"a":[63,97,107,144],"robust":[64],"discriminant":[65],"(RDS)":[67],"model":[69,102],"with":[70,133],"adaptive":[71],"embedding.":[74],"Specifically,":[75],"unlike":[76],"which":[80,177],"incorporate":[81],"via":[86],"regularizer,":[87],"thereby":[88],"introducing":[89,202],"extra":[90],"parameters,":[91],"RDS":[92,161,196,214],"first":[93],"integrates":[94],"them":[95],"into":[96],"unified":[98],"matrix":[99],"factorization":[100],"(MF)":[101],"through":[103],"theoretical":[104],"proof.":[105],"Furthermore,":[106],"similarity":[108,140],"graph":[109,123,141],"is":[110,119],"constructed":[111],"learn":[113],"structure.":[116],"A":[117],"constraint":[118],"imposed":[120],"on":[121,208],"guarantee":[125],"that":[126,146,213],"it":[127],"has":[128],"same":[130],"connected":[131],"components":[132],"representation.":[135],"this":[137],"spirit,":[138],"serves":[142],"tradeoff":[145],"adaptively":[147],"balances":[148],"learning":[150],"process":[151],"space":[155],"original":[158],"Finally,":[160],"adopts":[162],"<inline-formula":[164,188],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[165,189],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">":[166,190],"<tex-math":[167,191],"notation=\"LaTeX\">$\\ell":[168,192],"_{2,1}$":[169,193],"</tex-math></inline-formula>":[170,194],"-norm":[171],"measure":[173],"residual":[175],"error,":[176],"enhances":[178],"robustness":[180],"noise.":[182],"Using":[183],"property":[185],"of":[186],"-norm,":[195],"can":[197,215],"be":[198],"optimized":[199],"efficiently":[200],"without":[201],"more":[203,217],"penalty":[204],"terms.":[205],"Experimental":[206],"results":[207,220],"real-world":[209],"benchmark":[210],"datasets":[211],"show":[212],"provide":[216],"interpretable":[218],"also":[222],"outperform":[223],"other":[224],"state-of-the-art":[225],"alternatives.":[226]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
