{"id":"https://openalex.org/W2262682506","doi":"https://doi.org/10.1109/tkde.2015.2499200","title":"Incremental Semi-Supervised Clustering Ensemble for High Dimensional Data Clustering","display_name":"Incremental Semi-Supervised Clustering Ensemble for High Dimensional Data Clustering","publication_year":2015,"publication_date":"2015-11-10","ids":{"openalex":"https://openalex.org/W2262682506","doi":"https://doi.org/10.1109/tkde.2015.2499200","mag":"2262682506"},"language":"en","primary_location":{"id":"doi:10.1109/tkde.2015.2499200","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tkde.2015.2499200","pdf_url":null,"source":{"id":"https://openalex.org/S30698027","display_name":"IEEE Transactions on Knowledge and Data Engineering","issn_l":"1041-4347","issn":["1041-4347","1558-2191","2326-3865"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","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 Knowledge and Data Engineering","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/A5100701158","display_name":"Zhiwen Yu","orcid":"https://orcid.org/0000-0002-0935-5890"},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Zhiwen Yu","raw_affiliation_strings":["School of Computer Science and Engineering, South China University of Technology, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, South China University of Technology, China","institution_ids":["https://openalex.org/I90610280"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5036030365","display_name":"Peinan Luo","orcid":null},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Peinan Luo","raw_affiliation_strings":["School of Computer Science and Engineering, South China University of Technology, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, South China University of Technology, China","institution_ids":["https://openalex.org/I90610280"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5045562050","display_name":"Jane You","orcid":"https://orcid.org/0000-0002-8181-4836"},"institutions":[{"id":"https://openalex.org/I14243506","display_name":"Hong Kong Polytechnic University","ror":"https://ror.org/0030zas98","country_code":"HK","type":"education","lineage":["https://openalex.org/I14243506"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Jane You","raw_affiliation_strings":["Department of Computing, Hong Kong Polytechnic University, Hung Hom, Kowloon, Hong Kong SAR"],"affiliations":[{"raw_affiliation_string":"Department of Computing, Hong Kong Polytechnic University, Hung Hom, Kowloon, Hong Kong SAR","institution_ids":["https://openalex.org/I14243506"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5014196059","display_name":"Hau\u2212San Wong","orcid":"https://orcid.org/0000-0002-1530-7529"},"institutions":[{"id":"https://openalex.org/I168719708","display_name":"City University of Hong Kong","ror":"https://ror.org/03q8dnn23","country_code":"HK","type":"education","lineage":["https://openalex.org/I168719708"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Hau-San Wong","raw_affiliation_strings":["Department of Computer Science, City University of Hong Kong, Kowloon, Hong Kong SAR"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, City University of Hong Kong, Kowloon, Hong Kong SAR","institution_ids":["https://openalex.org/I168719708"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5091697161","display_name":"Hareton Leung","orcid":"https://orcid.org/0000-0002-1766-7667"},"institutions":[{"id":"https://openalex.org/I14243506","display_name":"Hong Kong Polytechnic University","ror":"https://ror.org/0030zas98","country_code":"HK","type":"education","lineage":["https://openalex.org/I14243506"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Hareton Leung","raw_affiliation_strings":["Department of Computing, Hong Kong Polytechnic University, Hung Hom, Kowloon, Hong Kong SAR"],"affiliations":[{"raw_affiliation_string":"Department of Computing, Hong Kong Polytechnic University, Hung Hom, Kowloon, Hong Kong SAR","institution_ids":["https://openalex.org/I14243506"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5070982537","display_name":"Si Wu","orcid":"https://orcid.org/0000-0003-4022-0852"},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Si Wu","raw_affiliation_strings":["School of Computer Science and Engineering, South China University of Technology, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, South China University of Technology, China","institution_ids":["https://openalex.org/I90610280"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100400217","display_name":"Jun Zhang","orcid":"https://orcid.org/0000-0001-7835-9871"},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jun Zhang","raw_affiliation_strings":["School of Advanced Computing, Sun Yat-Sen University, Guangzhou, 510275, P. R. China"],"affiliations":[{"raw_affiliation_string":"School of Advanced Computing, Sun Yat-Sen University, Guangzhou, 510275, P. R. China","institution_ids":["https://openalex.org/I157773358"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100682155","display_name":"Guoqiang Han","orcid":"https://orcid.org/0000-0002-9687-3900"},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guoqiang Han","raw_affiliation_strings":["School of Computer Science and Engineering, South China University of Technology, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, South China University of Technology, China","institution_ids":["https://openalex.org/I90610280"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":8,"corresponding_author_ids":["https://openalex.org/A5100701158"],"corresponding_institution_ids":["https://openalex.org/I90610280"],"apc_list":null,"apc_paid":null,"fwci":29.3762,"has_fulltext":false,"cited_by_count":185,"citation_normalized_percentile":{"value":0.99657006,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":100},"biblio":{"volume":"28","issue":"3","first_page":"701","last_page":"714"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10637","display_name":"Advanced Clustering Algorithms Research","score":0.9997000098228455,"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"}},"topics":[{"id":"https://openalex.org/T10637","display_name":"Advanced Clustering Algorithms Research","score":0.9997000098228455,"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"}},{"id":"https://openalex.org/T10885","display_name":"Gene expression and cancer classification","score":0.9886999726295471,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T10057","display_name":"Face and Expression Recognition","score":0.9839000105857849,"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":0.7727363705635071},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7440603971481323},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.6405667066574097},{"id":"https://openalex.org/keywords/ensemble-learning","display_name":"Ensemble learning","score":0.5672850012779236},{"id":"https://openalex.org/keywords/subspace-topology","display_name":"Subspace topology","score":0.5186321139335632},{"id":"https://openalex.org/keywords/clustering-high-dimensional-data","display_name":"Clustering high-dimensional data","score":0.5179539918899536},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4586702585220337},{"id":"https://openalex.org/keywords/ensemble-forecasting","display_name":"Ensemble forecasting","score":0.4498702883720398},{"id":"https://openalex.org/keywords/consensus-clustering","display_name":"Consensus clustering","score":0.43816202878952026},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4219486117362976},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3963257670402527},{"id":"https://openalex.org/keywords/correlation-clustering","display_name":"Correlation clustering","score":0.3591090738773346},{"id":"https://openalex.org/keywords/cure-data-clustering-algorithm","display_name":"CURE data clustering algorithm","score":0.3226645886898041}],"concepts":[{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.7727363705635071},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7440603971481323},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.6405667066574097},{"id":"https://openalex.org/C45942800","wikidata":"https://www.wikidata.org/wiki/Q245652","display_name":"Ensemble learning","level":2,"score":0.5672850012779236},{"id":"https://openalex.org/C32834561","wikidata":"https://www.wikidata.org/wiki/Q660730","display_name":"Subspace topology","level":2,"score":0.5186321139335632},{"id":"https://openalex.org/C184509293","wikidata":"https://www.wikidata.org/wiki/Q5136711","display_name":"Clustering high-dimensional data","level":3,"score":0.5179539918899536},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4586702585220337},{"id":"https://openalex.org/C119898033","wikidata":"https://www.wikidata.org/wiki/Q3433888","display_name":"Ensemble forecasting","level":2,"score":0.4498702883720398},{"id":"https://openalex.org/C186767784","wikidata":"https://www.wikidata.org/wiki/Q5162841","display_name":"Consensus clustering","level":5,"score":0.43816202878952026},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4219486117362976},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3963257670402527},{"id":"https://openalex.org/C94641424","wikidata":"https://www.wikidata.org/wiki/Q5172845","display_name":"Correlation clustering","level":3,"score":0.3591090738773346},{"id":"https://openalex.org/C33704608","wikidata":"https://www.wikidata.org/wiki/Q5014717","display_name":"CURE data clustering algorithm","level":4,"score":0.3226645886898041}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/tkde.2015.2499200","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tkde.2015.2499200","pdf_url":null,"source":{"id":"https://openalex.org/S30698027","display_name":"IEEE Transactions on Knowledge and Data Engineering","issn_l":"1041-4347","issn":["1041-4347","1558-2191","2326-3865"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","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 Knowledge and Data Engineering","raw_type":"journal-article"},{"id":"pmh:oai:ira.lib.polyu.edu.hk:10397/61226","is_oa":false,"landing_page_url":"http://hdl.handle.net/10397/61226","pdf_url":null,"source":{"id":"https://openalex.org/S4306400205","display_name":"PolyU Institutional Research Archive (Hong Kong Polytechnic University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I14243506","host_organization_name":"Hong Kong Polytechnic University","host_organization_lineage":["https://openalex.org/I14243506"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Journal/Magazine Article"},{"id":"pmh:oai:ira.lib.polyu.edu.hk:10397/67095","is_oa":false,"landing_page_url":"http://hdl.handle.net/10397/67095","pdf_url":null,"source":{"id":"https://openalex.org/S4306400205","display_name":"PolyU Institutional Research Archive (Hong Kong Polytechnic University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I14243506","host_organization_name":"Hong Kong Polytechnic University","host_organization_lineage":["https://openalex.org/I14243506"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Conference Paper"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/17","display_name":"Partnerships for the goals","score":0.4000000059604645}],"awards":[{"id":"https://openalex.org/G2398294173","display_name":null,"funder_award_id":"7004220","funder_id":"https://openalex.org/F4320309893","funder_display_name":"City University of Hong Kong"},{"id":"https://openalex.org/G3191098097","display_name":null,"funder_award_id":"61332002","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3717745498","display_name":null,"funder_award_id":"G-YM05 and G-YN39","funder_id":"https://openalex.org/F4320322598","funder_display_name":"Hong Kong Polytechnic University"},{"id":"https://openalex.org/G3845942108","display_name":null,"funder_award_id":"2014G0007","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"},{"id":"https://openalex.org/G5033022664","display_name":null,"funder_award_id":"61502173","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5534731291","display_name":null,"funder_award_id":"61572199","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6371200738","display_name":null,"funder_award_id":"2015PT016","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"},{"id":"https://openalex.org/G8845867371","display_name":null,"funder_award_id":"61300044","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8927398668","display_name":null,"funder_award_id":"61472145","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320309893","display_name":"City University of Hong Kong","ror":"https://ror.org/03q8dnn23"},{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320322598","display_name":"Hong Kong Polytechnic University","ror":"https://ror.org/0030zas98"},{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":61,"referenced_works":["https://openalex.org/W47820314","https://openalex.org/W1481689911","https://openalex.org/W1548779692","https://openalex.org/W1875623881","https://openalex.org/W1965450189","https://openalex.org/W1968970305","https://openalex.org/W1973353528","https://openalex.org/W1974758710","https://openalex.org/W1987839426","https://openalex.org/W1990334093","https://openalex.org/W1997996331","https://openalex.org/W1999077402","https://openalex.org/W2000774449","https://openalex.org/W2011029476","https://openalex.org/W2035379061","https://openalex.org/W2037183202","https://openalex.org/W2039786238","https://openalex.org/W2056766567","https://openalex.org/W2070333970","https://openalex.org/W2071319114","https://openalex.org/W2076769479","https://openalex.org/W2087424554","https://openalex.org/W2095823319","https://openalex.org/W2097238706","https://openalex.org/W2098777834","https://openalex.org/W2099984621","https://openalex.org/W2105268089","https://openalex.org/W2106852142","https://openalex.org/W2108343180","https://openalex.org/W2109566206","https://openalex.org/W2111596024","https://openalex.org/W2113242816","https://openalex.org/W2115346774","https://openalex.org/W2116673996","https://openalex.org/W2116984363","https://openalex.org/W2121757144","https://openalex.org/W2121947440","https://openalex.org/W2122644269","https://openalex.org/W2135076825","https://openalex.org/W2139280638","https://openalex.org/W2140413566","https://openalex.org/W2144419338","https://openalex.org/W2149739421","https://openalex.org/W2150200997","https://openalex.org/W2153293405","https://openalex.org/W2153839362","https://openalex.org/W2155916898","https://openalex.org/W2158854411","https://openalex.org/W2160437295","https://openalex.org/W2161498107","https://openalex.org/W2162833336","https://openalex.org/W2169284845","https://openalex.org/W2170584976","https://openalex.org/W2610360795","https://openalex.org/W3083270358","https://openalex.org/W3100648197","https://openalex.org/W4285719527","https://openalex.org/W6601944787","https://openalex.org/W6642402019","https://openalex.org/W6647103529","https://openalex.org/W6684050148"],"related_works":["https://openalex.org/W2111119584","https://openalex.org/W2606552659","https://openalex.org/W4301002638","https://openalex.org/W3186815950","https://openalex.org/W2406185607","https://openalex.org/W2163563073","https://openalex.org/W2311450085","https://openalex.org/W3035964814","https://openalex.org/W3124860551","https://openalex.org/W2309230723"],"abstract_inverted_index":{"Traditional":[0],"cluster":[1,27,60],"ensemble":[2,28,42,61,70,91,130,141,224,263],"approaches":[3,225],"have":[4],"three":[5],"limitations:":[6],"(1)":[7],"They":[8],"do":[9],"not":[10],"make":[11],"use":[12,75],"of":[13,16,24,58,76,79,189,208,214],"prior":[14,126],"knowledge":[15],"the":[17,25,41,47,56,77,80,84,88,96,118,157,166,184,196,205,259],"datasets":[18,239,252],"given":[19],"by":[20],"experts.":[21],"(2)":[22],"Most":[23],"conventional":[26,59],"methods":[29],"cannot":[30],"obtain":[31],"satisfactory":[32],"results":[33],"when":[34],"handling":[35,113],"high":[36,102,114,255],"dimensional":[37,103,115],"data.":[38],"(3)":[39],"All":[40],"members":[43,142],"are":[44,217],"considered,":[45],"even":[46],"ones":[48],"without":[49],"positive":[50],"contributions.":[51],"In":[52],"order":[53],"to":[54,100,137,163,182,219],"address":[55],"limitations":[57],"approaches,":[62],"we":[63,203],"first":[64],"propose":[65],"an":[66],"incremental":[67,90,129],"semi-supervised":[68,261],"clustering":[69,223,262],"framework":[71],"(ISSCE)":[72],"which":[73,235],"makes":[74],"advantage":[78],"random":[81,107],"subspace":[82,108],"technique,":[83],"constraint":[85,119],"propagation":[86,120],"approach,":[87],"proposed":[89,147,181],"member":[92,131],"selection":[93,132],"process,":[94],"and":[95,151,156,174,191,240,257],"normalized":[97,158],"cut":[98,159],"algorithm":[99,160],"perform":[101],"data":[104],"clustering.":[105],"The":[106,128,229],"technique":[109],"is":[110,122,134,161,180,192],"effective":[111],"for":[112,124,169,194],"data,":[116],"while":[117],"approach":[121],"useful":[123],"incorporating":[125],"knowledge.":[127],"process":[133],"newly":[135,146],"designed":[136],"judiciously":[138],"remove":[139],"redundant":[140],"based":[143],"on":[144,231,251],"a":[145,152,178,212],"local":[148,197],"cost":[149,154,198],"function":[150,168,199],"global":[153],"function,":[155],"adopted":[162,218],"serve":[164],"as":[165],"consensus":[167],"providing":[170],"more":[171],"stable,":[172],"robust,":[173],"accurate":[175],"results.":[176],"Then,":[177],"measure":[179],"quantify":[183],"similarity":[185],"between":[186],"two":[187],"sets":[188],"attributes,":[190],"used":[193],"computing":[195],"in":[200],"ISSCE.":[201],"Next,":[202],"analyze":[204],"time":[206],"complexity":[207],"ISSCE":[209,248],"theoretically.":[210],"Finally,":[211],"set":[213],"nonparametric":[215],"tests":[216],"compare":[220],"multiple":[221],"semisupervised":[222],"over":[226],"different":[227],"datasets.":[228],"experiments":[230],"18":[232],"real-world":[233],"datasets,":[234],"include":[236],"six":[237],"UCI":[238],"12":[241],"cancer":[242],"gene":[243],"expression":[244],"profiles,":[245],"confirm":[246],"that":[247],"works":[249],"well":[250],"with":[253],"very":[254],"dimensionality,":[256],"outperforms":[258],"state-of-the-art":[260],"approaches.":[264]},"counts_by_year":[{"year":2025,"cited_by_count":10},{"year":2024,"cited_by_count":6},{"year":2023,"cited_by_count":27},{"year":2022,"cited_by_count":16},{"year":2021,"cited_by_count":16},{"year":2020,"cited_by_count":24},{"year":2019,"cited_by_count":19},{"year":2018,"cited_by_count":29},{"year":2017,"cited_by_count":24},{"year":2016,"cited_by_count":13}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}
