{"id":"https://openalex.org/W4391807495","doi":"https://doi.org/10.1109/tsp.2024.3365944","title":"Joint Principal Component Analysis and Supervised <i>k</i> Means Algorithm via Non-Iterative Analytic Optimization Approach","display_name":"Joint Principal Component Analysis and Supervised <i>k</i> Means Algorithm via Non-Iterative Analytic Optimization Approach","publication_year":2024,"publication_date":"2024-01-01","ids":{"openalex":"https://openalex.org/W4391807495","doi":"https://doi.org/10.1109/tsp.2024.3365944"},"language":"en","primary_location":{"id":"doi:10.1109/tsp.2024.3365944","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tsp.2024.3365944","pdf_url":null,"source":{"id":"https://openalex.org/S168680287","display_name":"IEEE Transactions on Signal Processing","issn_l":"1053-587X","issn":["1053-587X","1941-0476"],"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 Signal Processing","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/A5114626554","display_name":"Zhanbin Zhang","orcid":"https://orcid.org/0009-0008-3825-0503"},"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":"Zhanbin Zhang","raw_affiliation_strings":["School of Information Engineering, Guangdong University of Technology, Guangzhou, Guangdong Province, China"],"raw_orcid":"https://orcid.org/0009-0008-3825-0503","affiliations":[{"raw_affiliation_string":"School of Information Engineering, Guangdong University of Technology, Guangzhou, Guangdong Province, China","institution_ids":["https://openalex.org/I139024713"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5022036826","display_name":"Bingo Wing\u2010Kuen Ling","orcid":"https://orcid.org/0000-0002-0633-7224"},"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":"Bingo Wing-Kuen Ling","raw_affiliation_strings":["School of Information Engineering, Guangdong University of Technology, Guangzhou, Guangdong Province, China"],"raw_orcid":"https://orcid.org/0000-0002-0633-7224","affiliations":[{"raw_affiliation_string":"School of Information Engineering, Guangdong University of Technology, Guangzhou, Guangdong Province, China","institution_ids":["https://openalex.org/I139024713"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5006709942","display_name":"Guoheng Huang","orcid":"https://orcid.org/0000-0002-3640-3229"},"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":"Guoheng Huang","raw_affiliation_strings":["School of Computer Science and Technology, Guangdong University of Technology, Guangzhou, Guangdong Province, China"],"raw_orcid":"https://orcid.org/0000-0002-3640-3229","affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Guangdong University of Technology, Guangzhou, Guangdong Province, China","institution_ids":["https://openalex.org/I139024713"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I139024713"],"apc_list":null,"apc_paid":null,"fwci":0.8518,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.64282211,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":97},"biblio":{"volume":"72","issue":null,"first_page":"1348","last_page":"1360"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10640","display_name":"Spectroscopy and Chemometric Analyses","score":0.9990000128746033,"subfield":{"id":"https://openalex.org/subfields/1602","display_name":"Analytical Chemistry"},"field":{"id":"https://openalex.org/fields/16","display_name":"Chemistry"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10640","display_name":"Spectroscopy and Chemometric Analyses","score":0.9990000128746033,"subfield":{"id":"https://openalex.org/subfields/1602","display_name":"Analytical Chemistry"},"field":{"id":"https://openalex.org/fields/16","display_name":"Chemistry"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10057","display_name":"Face and Expression Recognition","score":0.9973999857902527,"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/T11447","display_name":"Blind Source Separation Techniques","score":0.9947999715805054,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/principal-component-analysis","display_name":"Principal component analysis","score":0.8027079701423645},{"id":"https://openalex.org/keywords/joint","display_name":"Joint (building)","score":0.6464848518371582},{"id":"https://openalex.org/keywords/iterative-method","display_name":"Iterative method","score":0.5762534737586975},{"id":"https://openalex.org/keywords/independent-component-analysis","display_name":"Independent component analysis","score":0.5418323874473572},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5061716437339783},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.49878716468811035},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.4964156746864319},{"id":"https://openalex.org/keywords/component","display_name":"Component (thermodynamics)","score":0.46956777572631836},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4553731679916382},{"id":"https://openalex.org/keywords/signal-processing","display_name":"Signal processing","score":0.4403862953186035},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4382549822330475},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.41723811626434326},{"id":"https://openalex.org/keywords/digital-signal-processing","display_name":"Digital signal processing","score":0.1115744411945343}],"concepts":[{"id":"https://openalex.org/C27438332","wikidata":"https://www.wikidata.org/wiki/Q2873","display_name":"Principal component analysis","level":2,"score":0.8027079701423645},{"id":"https://openalex.org/C18555067","wikidata":"https://www.wikidata.org/wiki/Q8375051","display_name":"Joint (building)","level":2,"score":0.6464848518371582},{"id":"https://openalex.org/C159694833","wikidata":"https://www.wikidata.org/wiki/Q2321565","display_name":"Iterative method","level":2,"score":0.5762534737586975},{"id":"https://openalex.org/C51432778","wikidata":"https://www.wikidata.org/wiki/Q1259145","display_name":"Independent component analysis","level":2,"score":0.5418323874473572},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5061716437339783},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.49878716468811035},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.4964156746864319},{"id":"https://openalex.org/C168167062","wikidata":"https://www.wikidata.org/wiki/Q1117970","display_name":"Component (thermodynamics)","level":2,"score":0.46956777572631836},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4553731679916382},{"id":"https://openalex.org/C104267543","wikidata":"https://www.wikidata.org/wiki/Q208163","display_name":"Signal processing","level":3,"score":0.4403862953186035},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4382549822330475},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.41723811626434326},{"id":"https://openalex.org/C84462506","wikidata":"https://www.wikidata.org/wiki/Q173142","display_name":"Digital signal processing","level":2,"score":0.1115744411945343},{"id":"https://openalex.org/C170154142","wikidata":"https://www.wikidata.org/wiki/Q150737","display_name":"Architectural engineering","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/C97355855","wikidata":"https://www.wikidata.org/wiki/Q11473","display_name":"Thermodynamics","level":1,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"id":"https://openalex.org/C9390403","wikidata":"https://www.wikidata.org/wiki/Q3966","display_name":"Computer hardware","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tsp.2024.3365944","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tsp.2024.3365944","pdf_url":null,"source":{"id":"https://openalex.org/S168680287","display_name":"IEEE Transactions on Signal Processing","issn_l":"1053-587X","issn":["1053-587X","1941-0476"],"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 Signal Processing","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G3278657573","display_name":null,"funder_award_id":"U1701266","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5038029454","display_name":"\u5377\u79ef\u795e\u7ecf\u7f51\u7edc\u4e2d\u7684\u6700\u4f18\u5316\u8bbe\u8ba1\u7406\u8bba\u7814\u7a76\u53ca\u5e94\u7528","funder_award_id":"61671163","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7520003186","display_name":null,"funder_award_id":"61901123","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8510736952","display_name":"\u591a\u5143\u65f6\u9891\u5206\u6790\u7cfb\u7edf\u7684\u6700\u4f18\u8bbe\u8ba1\u3001\u6b63\u4ea4\u53ca\u7ebf\u6027\u76f8\u4f4d\u7406\u8bba\u7814\u7a76","funder_award_id":"62071128","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":33,"referenced_works":["https://openalex.org/W1524742142","https://openalex.org/W1989746184","https://openalex.org/W2008107235","https://openalex.org/W2063687840","https://openalex.org/W2075268401","https://openalex.org/W2086953401","https://openalex.org/W2087329508","https://openalex.org/W2099242680","https://openalex.org/W2102544846","https://openalex.org/W2112946712","https://openalex.org/W2157976960","https://openalex.org/W2167282237","https://openalex.org/W2170756173","https://openalex.org/W2772283936","https://openalex.org/W2886028207","https://openalex.org/W2910134385","https://openalex.org/W2916525543","https://openalex.org/W2930841935","https://openalex.org/W2963481827","https://openalex.org/W2999996073","https://openalex.org/W3036056878","https://openalex.org/W3107196492","https://openalex.org/W3114368345","https://openalex.org/W3131860561","https://openalex.org/W3159079182","https://openalex.org/W3183456699","https://openalex.org/W4210711295","https://openalex.org/W4226020799","https://openalex.org/W4226347958","https://openalex.org/W4292363360","https://openalex.org/W4366001931","https://openalex.org/W4382310389","https://openalex.org/W6769777370"],"related_works":["https://openalex.org/W2121429698","https://openalex.org/W2182042810","https://openalex.org/W4252230435","https://openalex.org/W55679925","https://openalex.org/W3080404860","https://openalex.org/W2046761971","https://openalex.org/W3144722888","https://openalex.org/W2978270519","https://openalex.org/W2360100701","https://openalex.org/W2362299104"],"abstract_inverted_index":{"It":[0],"is":[1,42,92,207,216,265,270],"worth":[2],"noting":[3],"that":[4,321],"the":[5,11,15,19,28,34,37,40,45,54,58,66,72,77,81,89,113,117,123,128,134,138,142,146,153,157,168,172,185,191,195,198,204,211,221,231,234,238,247,250,253,259,263,274,280,285,291,294,299,304,309,312,326,331,337,340],"traditional":[6,186],"methods":[7,306],"for":[8,111,241,297,307],"performing":[9,27,112,273,298],"both":[10,122],"dimensional":[12,29,55,67,78,114,129],"reduction":[13,30,79,115,130],"and":[14,49,80,108,116,141,171,303,329,339],"classification":[16,41,82,118,277,302],"are":[17,149,167,316],"via":[18,272],"two":[20,163],"steps":[21],"iterative":[22,187],"approaches.":[23],"In":[24,120],"this":[25,97,99,226,228],"case,":[26],"does":[31,51],"not":[32,52,70,93],"consider":[33,53],"classification.":[35,73],"On":[36],"other":[38],"hand,":[39],"performed":[43],"in":[44,145,181,184],"original":[46],"feature":[47,143],"domain":[48,148],"it":[50],"reduction.":[56],"Here,":[57,160],"transform":[59,158,169],"matrix":[60,170,212,222,240,244],"only":[61],"takes":[62],"an":[63],"effect":[64],"on":[65,71,220,279],"reduction,":[68],"but":[69],"The":[74,267,288,318],"synergy":[75],"between":[76,137],"has":[83],"been":[84],"ignored.":[85],"As":[86,256],"a":[87,102,177,217,257],"result,":[88,258],"overall":[90],"performance":[91],"optimal.":[94],"To":[95,189,224],"address":[96,225],"issue,":[98,227],"paper":[100,229],"proposes":[101],"joint":[103],"principal":[104],"component":[105],"analysis":[106],"(PCA)":[107],"supervisedkmeans":[109],"approach":[110],"simultaneously.":[119],"particular,":[121],"reconstruction":[124],"error":[125],"due":[126],"to":[127,152,290],"as":[131,133,210],"well":[132],"total":[135],"distance":[136],"cluster":[139,173],"centers":[140],"vectors":[144],"transformed":[147],"minimized":[150],"subject":[151],"unitary":[154],"condition":[155,202],"of":[156,176,194,203,233,237,249,252,262,293,311,342],"matrix.":[159],"we":[161],"have":[162],"decision":[164,179],"variables.":[165],"They":[166],"centers,":[174],"instead":[175],"single":[178],"variable":[180],"each":[182],"iteration":[183],"method.":[188,345],"find":[190],"analytical":[192,260],"solution":[193],"optimization":[196,205,314],"problem,":[197],"first":[199,208],"order":[200],"derivative":[201],"problem":[206],"expressed":[209],"equations.":[213],"However,":[214],"there":[215],"structure":[218],"deficiency":[219],"equation.":[223],"employs":[230],"property":[232],"singular":[235],"matrices":[236],"symmetric":[239],"solving":[242],"these":[243],"equations":[245],"with":[246],"guarantee":[248],"satisfaction":[251],"structural":[254],"deficiency.":[255],"form":[261],"solutions":[264,310],"derived.":[266],"proposed":[268,323,344],"method":[269,324],"evaluated":[271],"mental":[275,300],"arithmetic":[276,301],"based":[278],"electroencephalograms":[281],"(EEGs)":[282],"downloaded":[283],"from":[284],"PhysioNet":[286],"database.":[287],"comparisons":[289],"state":[292],"art":[295],"algorithms":[296],"conventional":[305],"finding":[308],"constrained":[313],"problems":[315],"conducted.":[317],"results":[319],"demonstrate":[320],"our":[322,343],"achieves":[325],"higher":[327],"accuracy":[328],"requires":[330],"lower":[332],"execution":[333],"time.":[334],"This":[335],"validates":[336],"effectiveness":[338],"efficiency":[341]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":2}],"updated_date":"2026-07-29T09:40:50.615796","created_date":"2025-10-10T00:00:00"}