{"id":"https://openalex.org/W3128049361","doi":"https://doi.org/10.1109/bibm49941.2020.9313287","title":"Tensor Robust Principal Component Analysis with Low-Rank Weight Constraints for Sample Clustering","display_name":"Tensor Robust Principal Component Analysis with Low-Rank Weight Constraints for Sample Clustering","publication_year":2020,"publication_date":"2020-12-16","ids":{"openalex":"https://openalex.org/W3128049361","doi":"https://doi.org/10.1109/bibm49941.2020.9313287","mag":"3128049361"},"language":"en","primary_location":{"id":"doi:10.1109/bibm49941.2020.9313287","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bibm49941.2020.9313287","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5065808540","display_name":"Yuying Zhao","orcid":"https://orcid.org/0009-0001-6976-8638"},"institutions":[{"id":"https://openalex.org/I202126657","display_name":"Qufu Normal University","ror":"https://ror.org/03ceheh96","country_code":"CN","type":"education","lineage":["https://openalex.org/I202126657"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yu-Ying Zhao","raw_affiliation_strings":["School of Computer Science, Qufu Normal University, Rizhao, Shandong, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science, Qufu Normal University, Rizhao, Shandong, China","institution_ids":["https://openalex.org/I202126657"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5031904848","display_name":"Maoli Wang","orcid":"https://orcid.org/0000-0001-5420-1463"},"institutions":[{"id":"https://openalex.org/I202126657","display_name":"Qufu Normal University","ror":"https://ror.org/03ceheh96","country_code":"CN","type":"education","lineage":["https://openalex.org/I202126657"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Mao-Li Wang","raw_affiliation_strings":["School of Computer Science, Qufu Normal University, Rizhao, Shandong, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science, Qufu Normal University, Rizhao, Shandong, China","institution_ids":["https://openalex.org/I202126657"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100347490","display_name":"Juan Wang","orcid":"https://orcid.org/0000-0003-3934-0435"},"institutions":[{"id":"https://openalex.org/I202126657","display_name":"Qufu Normal University","ror":"https://ror.org/03ceheh96","country_code":"CN","type":"education","lineage":["https://openalex.org/I202126657"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Juan Wang","raw_affiliation_strings":["School of Computer Science, Qufu Normal University, Rizhao, Shandong, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science, Qufu Normal University, Rizhao, Shandong, China","institution_ids":["https://openalex.org/I202126657"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5011951772","display_name":"Shasha Yuan","orcid":"https://orcid.org/0000-0003-4792-9880"},"institutions":[{"id":"https://openalex.org/I202126657","display_name":"Qufu Normal University","ror":"https://ror.org/03ceheh96","country_code":"CN","type":"education","lineage":["https://openalex.org/I202126657"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Sha-Sha Yuan","raw_affiliation_strings":["School of Computer Science, Qufu Normal University, Rizhao, Shandong, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science, Qufu Normal University, Rizhao, Shandong, China","institution_ids":["https://openalex.org/I202126657"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5073144090","display_name":"Jin\u2010Xing Liu","orcid":"https://orcid.org/0000-0001-6104-2149"},"institutions":[{"id":"https://openalex.org/I202126657","display_name":"Qufu Normal University","ror":"https://ror.org/03ceheh96","country_code":"CN","type":"education","lineage":["https://openalex.org/I202126657"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jin-Xing Liu","raw_affiliation_strings":["School of Computer Science, Qufu Normal University, Rizhao, Shandong, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science, Qufu Normal University, Rizhao, Shandong, China","institution_ids":["https://openalex.org/I202126657"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102801556","display_name":"Xiang-Zhen Kong","orcid":null},"institutions":[{"id":"https://openalex.org/I202126657","display_name":"Qufu Normal University","ror":"https://ror.org/03ceheh96","country_code":"CN","type":"education","lineage":["https://openalex.org/I202126657"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiang-Zhen Kong","raw_affiliation_strings":["School of Computer Science, Qufu Normal University, Rizhao, Shandong, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science, Qufu Normal University, Rizhao, Shandong, China","institution_ids":["https://openalex.org/I202126657"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I202126657"],"apc_list":null,"apc_paid":null,"fwci":0.2042,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.39285714,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"397","last_page":"401"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12303","display_name":"Tensor decomposition and applications","score":0.9994000196456909,"subfield":{"id":"https://openalex.org/subfields/2605","display_name":"Computational Mathematics"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T12303","display_name":"Tensor decomposition and applications","score":0.9994000196456909,"subfield":{"id":"https://openalex.org/subfields/2605","display_name":"Computational Mathematics"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9979000091552734,"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/T11304","display_name":"Advanced Neuroimaging Techniques and Applications","score":0.9544000029563904,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/principal-component-analysis","display_name":"Principal component analysis","score":0.7652673125267029},{"id":"https://openalex.org/keywords/robust-principal-component-analysis","display_name":"Robust principal component analysis","score":0.74908846616745},{"id":"https://openalex.org/keywords/tensor","display_name":"Tensor (intrinsic definition)","score":0.6672154068946838},{"id":"https://openalex.org/keywords/rank","display_name":"Rank (graph theory)","score":0.6067155599594116},{"id":"https://openalex.org/keywords/constraint","display_name":"Constraint (computer-aided design)","score":0.5746957063674927},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5706773996353149},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.5551846623420715},{"id":"https://openalex.org/keywords/matrix-norm","display_name":"Matrix norm","score":0.5419801473617554},{"id":"https://openalex.org/keywords/weighting","display_name":"Weighting","score":0.5173237323760986},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5127876400947571},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.43004006147384644},{"id":"https://openalex.org/keywords/sparse-pca","display_name":"Sparse PCA","score":0.4142634868621826},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.41019874811172485},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.38503408432006836},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.36065661907196045},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.33642876148223877},{"id":"https://openalex.org/keywords/eigenvalues-and-eigenvectors","display_name":"Eigenvalues and eigenvectors","score":0.1358312964439392}],"concepts":[{"id":"https://openalex.org/C27438332","wikidata":"https://www.wikidata.org/wiki/Q2873","display_name":"Principal component analysis","level":2,"score":0.7652673125267029},{"id":"https://openalex.org/C2777749129","wikidata":"https://www.wikidata.org/wiki/Q17148469","display_name":"Robust principal component analysis","level":3,"score":0.74908846616745},{"id":"https://openalex.org/C155281189","wikidata":"https://www.wikidata.org/wiki/Q3518150","display_name":"Tensor (intrinsic definition)","level":2,"score":0.6672154068946838},{"id":"https://openalex.org/C164226766","wikidata":"https://www.wikidata.org/wiki/Q7293202","display_name":"Rank (graph theory)","level":2,"score":0.6067155599594116},{"id":"https://openalex.org/C2776036281","wikidata":"https://www.wikidata.org/wiki/Q48769818","display_name":"Constraint (computer-aided design)","level":2,"score":0.5746957063674927},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5706773996353149},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.5551846623420715},{"id":"https://openalex.org/C92207270","wikidata":"https://www.wikidata.org/wiki/Q939253","display_name":"Matrix norm","level":3,"score":0.5419801473617554},{"id":"https://openalex.org/C183115368","wikidata":"https://www.wikidata.org/wiki/Q856577","display_name":"Weighting","level":2,"score":0.5173237323760986},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5127876400947571},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.43004006147384644},{"id":"https://openalex.org/C24252448","wikidata":"https://www.wikidata.org/wiki/Q7573786","display_name":"Sparse PCA","level":3,"score":0.4142634868621826},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.41019874811172485},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.38503408432006836},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.36065661907196045},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.33642876148223877},{"id":"https://openalex.org/C158693339","wikidata":"https://www.wikidata.org/wiki/Q190524","display_name":"Eigenvalues and eigenvectors","level":2,"score":0.1358312964439392},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.0},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/bibm49941.2020.9313287","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bibm49941.2020.9313287","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W1850275953","https://openalex.org/W1992426838","https://openalex.org/W2043571470","https://openalex.org/W2069287942","https://openalex.org/W2079796046","https://openalex.org/W2096672909","https://openalex.org/W2108819945","https://openalex.org/W2113359929","https://openalex.org/W2120423544","https://openalex.org/W2131838954","https://openalex.org/W2145962650","https://openalex.org/W2737074321","https://openalex.org/W2769917959","https://openalex.org/W2906988372","https://openalex.org/W2946901631","https://openalex.org/W2963885538","https://openalex.org/W2976673205"],"related_works":["https://openalex.org/W2030927653","https://openalex.org/W2990436289","https://openalex.org/W2953204310","https://openalex.org/W2732461152","https://openalex.org/W2006410278","https://openalex.org/W2309638141","https://openalex.org/W3174042135","https://openalex.org/W2574182783","https://openalex.org/W2732959879","https://openalex.org/W4291805341"],"abstract_inverted_index":{"With":[0],"the":[1,5,40,53,81,100,111,117,122,127],"rapid":[2],"development":[3],"of":[4,12,20,43,83],"next-generation":[6],"sequencing":[7,22],"technology,":[8],"a":[9,63,73],"large":[10,26],"amount":[11],"genomics":[13],"information":[14,102],"has":[15,48,87],"been":[16],"obtained.":[17],"The":[18,29,137],"scale":[19],"biological":[21],"data":[23,78,98,143],"is":[24,113,148],"particularly":[25],"and":[27,99],"complex.":[28],"tensor":[30,44,55,119],"robust":[31],"principal":[32],"component":[33],"analysis":[34],"(TRPCA)":[35],"method":[36,82,147],"can":[37,94,105],"effectively":[38],"preserve":[39],"spatial":[41],"structure":[42],"data,":[45],"so":[46],"it":[47,104],"received":[49],"extensive":[50],"attention.":[51],"However,":[52],"low-rank":[54,77,97,135],"obtained":[56],"by":[57,134],"TRPCA":[58,130],"may":[59],"be":[60,106],"damaged":[61],"to":[62,115,120,150],"certain":[64],"extent.":[65],"To":[66],"solve":[67],"this":[68,70],"problem,":[69],"paper":[71],"proposes":[72],"model":[74,86,131],"for":[75],"weighting":[76],"based":[79],"on":[80,140],"TRPCA.":[84],"This":[85],"an":[88],"additional":[89],"constraint":[90],"penalty":[91],"term":[92],"that":[93,145],"repair":[95],"corrupted":[96],"effective":[101],"in":[103],"fully":[107],"utilized.":[108],"In":[109,126],"addition,":[110],"norm":[112],"used":[114],"constrain":[116],"sparse":[118,123],"make":[121],"effect":[124],"better.":[125],"experimental":[128,138],"part,":[129],"clusters":[132],"samples":[133],"tensor.":[136],"results":[139],"cancer":[141],"omics":[142],"show":[144],"our":[146],"superior":[149],"other":[151],"methods.":[152]},"counts_by_year":[{"year":2023,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}