{"id":"https://openalex.org/W2072683602","doi":"https://doi.org/10.3390/a7030429","title":"\u21131 Major Component Detection and Analysis (\u21131 MCDA) in Three and Higher Dimensional Spaces","display_name":"\u21131 Major Component Detection and Analysis (\u21131 MCDA) in Three and Higher Dimensional Spaces","publication_year":2014,"publication_date":"2014-08-19","ids":{"openalex":"https://openalex.org/W2072683602","doi":"https://doi.org/10.3390/a7030429","mag":"2072683602"},"language":"en","primary_location":{"id":"doi:10.3390/a7030429","is_oa":true,"landing_page_url":"https://doi.org/10.3390/a7030429","pdf_url":"https://www.mdpi.com/1999-4893/7/3/429/pdf?version=1408543996","source":{"id":"https://openalex.org/S190629608","display_name":"Algorithms","issn_l":"1999-4893","issn":["1999-4893"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Algorithms","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/1999-4893/7/3/429/pdf?version=1408543996","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5066378870","display_name":"Zhibin Deng","orcid":"https://orcid.org/0000-0003-0563-5841"},"institutions":[{"id":"https://openalex.org/I137902535","display_name":"North Carolina State University","ror":"https://ror.org/04tj63d06","country_code":"US","type":"education","lineage":["https://openalex.org/I137902535"]},{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]}],"countries":["CN","US"],"is_corresponding":false,"raw_author_name":"Zhibin Deng","raw_affiliation_strings":["Department of Industrial and Systems Engineering, North Carolina State University, Raleigh, NC 27695-7906, USA","School of Management, Chinese Academy of Sciences, Beijing 100190, China"],"affiliations":[{"raw_affiliation_string":"Department of Industrial and Systems Engineering, North Carolina State University, Raleigh, NC 27695-7906, USA","institution_ids":["https://openalex.org/I137902535"]},{"raw_affiliation_string":"School of Management, Chinese Academy of Sciences, Beijing 100190, China","institution_ids":["https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5042290882","display_name":"John E. Lavery","orcid":null},"institutions":[{"id":"https://openalex.org/I137902535","display_name":"North Carolina State University","ror":"https://ror.org/04tj63d06","country_code":"US","type":"education","lineage":["https://openalex.org/I137902535"]},{"id":"https://openalex.org/I166416128","display_name":"DEVCOM Army Research Laboratory","ror":"https://ror.org/011hc8f90","country_code":"US","type":"government","lineage":["https://openalex.org/I1304082316","https://openalex.org/I1330347796","https://openalex.org/I166416128","https://openalex.org/I2802705668","https://openalex.org/I4210154437"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"John Lavery","raw_affiliation_strings":["Department of Industrial and Systems Engineering, North Carolina State University, Raleigh, NC 27695-7906, USA","Mathematical Sciences Division and Computing Sciences Division, Army Research Office, Army Research Laboratory, P.O. Box 12211, Research Triangle Park, NC 27709-2211, USA"],"affiliations":[{"raw_affiliation_string":"Department of Industrial and Systems Engineering, North Carolina State University, Raleigh, NC 27695-7906, USA","institution_ids":["https://openalex.org/I137902535"]},{"raw_affiliation_string":"Mathematical Sciences Division and Computing Sciences Division, Army Research Office, Army Research Laboratory, P.O. Box 12211, Research Triangle Park, NC 27709-2211, USA","institution_ids":["https://openalex.org/I166416128"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5027860626","display_name":"Shu\u2010Cherng Fang","orcid":"https://orcid.org/0000-0001-5087-3262"},"institutions":[{"id":"https://openalex.org/I137902535","display_name":"North Carolina State University","ror":"https://ror.org/04tj63d06","country_code":"US","type":"education","lineage":["https://openalex.org/I137902535"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Shu-Cherng Fang","raw_affiliation_strings":["Department of Industrial and Systems Engineering, North Carolina State University, Raleigh, NC 27695-7906, USA"],"affiliations":[{"raw_affiliation_string":"Department of Industrial and Systems Engineering, North Carolina State University, Raleigh, NC 27695-7906, USA","institution_ids":["https://openalex.org/I137902535"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5026333927","display_name":"Jian Luo","orcid":"https://orcid.org/0000-0001-8808-8948"},"institutions":[{"id":"https://openalex.org/I137902535","display_name":"North Carolina State University","ror":"https://ror.org/04tj63d06","country_code":"US","type":"education","lineage":["https://openalex.org/I137902535"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Jian Luo","raw_affiliation_strings":["Department of Industrial and Systems Engineering, North Carolina State University, Raleigh, NC 27695-7906, USA"],"affiliations":[{"raw_affiliation_string":"Department of Industrial and Systems Engineering, North Carolina State University, Raleigh, NC 27695-7906, USA","institution_ids":["https://openalex.org/I137902535"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5026333927"],"corresponding_institution_ids":["https://openalex.org/I137902535"],"apc_list":{"value":1400,"currency":"CHF","value_usd":1515},"apc_paid":{"value":1400,"currency":"CHF","value_usd":1515},"fwci":0.4228,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.75409447,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":"7","issue":"3","first_page":"429","last_page":"443"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9962999820709229,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9962999820709229,"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/T11447","display_name":"Blind Source Separation Techniques","score":0.9958999752998352,"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"}},{"id":"https://openalex.org/T11871","display_name":"Advanced Statistical Methods and Models","score":0.9957000017166138,"subfield":{"id":"https://openalex.org/subfields/2613","display_name":"Statistics and Probability"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/multiple-criteria-decision-analysis","display_name":"Multiple-criteria decision analysis","score":0.8934165835380554},{"id":"https://openalex.org/keywords/outlier","display_name":"Outlier","score":0.6683792471885681},{"id":"https://openalex.org/keywords/clutter","display_name":"Clutter","score":0.6473298072814941},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.6406964063644409},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5261309146881104},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.4285157322883606},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3898554742336273},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3768267035484314},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.32090651988983154},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.27557939291000366},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.21950018405914307},{"id":"https://openalex.org/keywords/radar","display_name":"Radar","score":0.12459537386894226},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.08583372831344604}],"concepts":[{"id":"https://openalex.org/C11105738","wikidata":"https://www.wikidata.org/wiki/Q1895805","display_name":"Multiple-criteria decision analysis","level":2,"score":0.8934165835380554},{"id":"https://openalex.org/C79337645","wikidata":"https://www.wikidata.org/wiki/Q779824","display_name":"Outlier","level":2,"score":0.6683792471885681},{"id":"https://openalex.org/C132094186","wikidata":"https://www.wikidata.org/wiki/Q641585","display_name":"Clutter","level":3,"score":0.6473298072814941},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.6406964063644409},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5261309146881104},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.4285157322883606},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3898554742336273},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3768267035484314},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.32090651988983154},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.27557939291000366},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.21950018405914307},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.12459537386894226},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.08583372831344604},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","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/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.3390/a7030429","is_oa":true,"landing_page_url":"https://doi.org/10.3390/a7030429","pdf_url":"https://www.mdpi.com/1999-4893/7/3/429/pdf?version=1408543996","source":{"id":"https://openalex.org/S190629608","display_name":"Algorithms","issn_l":"1999-4893","issn":["1999-4893"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Algorithms","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:44f4eb64087b451f96e094bdbe4961b9","is_oa":true,"landing_page_url":"https://doaj.org/article/44f4eb64087b451f96e094bdbe4961b9","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Algorithms, Vol 7, Iss 3, Pp 429-443 (2014)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.3390/a7030429","is_oa":true,"landing_page_url":"https://doi.org/10.3390/a7030429","pdf_url":"https://www.mdpi.com/1999-4893/7/3/429/pdf?version=1408543996","source":{"id":"https://openalex.org/S190629608","display_name":"Algorithms","issn_l":"1999-4893","issn":["1999-4893"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Algorithms","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1488912386","display_name":null,"funder_award_id":"W911NF-04-D-0003","funder_id":"https://openalex.org/F4320338281","funder_display_name":"Army Research Office"},{"id":"https://openalex.org/G2632701907","display_name":null,"funder_award_id":"DMI-0553310","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320338281","display_name":"Army Research Office","ror":"https://ror.org/05epdh915"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2072683602.pdf","grobid_xml":"https://content.openalex.org/works/W2072683602.grobid-xml"},"referenced_works_count":20,"referenced_works":["https://openalex.org/W198034206","https://openalex.org/W1736339626","https://openalex.org/W1970160857","https://openalex.org/W1974920844","https://openalex.org/W1989422231","https://openalex.org/W1992633833","https://openalex.org/W1993670676","https://openalex.org/W1993693225","https://openalex.org/W2004544971","https://openalex.org/W2024668293","https://openalex.org/W2037496690","https://openalex.org/W2043189673","https://openalex.org/W2058496912","https://openalex.org/W2068722138","https://openalex.org/W2084978503","https://openalex.org/W2101117936","https://openalex.org/W2119667497","https://openalex.org/W2951443864","https://openalex.org/W3099514962","https://openalex.org/W6675479683"],"related_works":["https://openalex.org/W2130674020","https://openalex.org/W2093748878","https://openalex.org/W2333771223","https://openalex.org/W2120056845","https://openalex.org/W1981531423","https://openalex.org/W1679012645","https://openalex.org/W2070318884","https://openalex.org/W2011939812","https://openalex.org/W1977371217","https://openalex.org/W4390651539"],"abstract_inverted_index":{"Based":[0],"on":[1],"the":[2,23,28,49,97,109,125,138],"recent":[3],"development":[4],"of":[5,31,66,79,108],"two":[6,86],"dimensional":[7],"\u21131":[8,20,51,81,100,140],"major":[9,29,94,106],"component":[10],"detection":[11],"and":[12,40,47,99,119,135],"analysis":[13],"(\u21131":[14],"MCDA),":[15],"we":[16],"develop":[17],"a":[18,57,63,67],"scalable":[19],"MCDA":[21,52,82,101,141],"in":[22,53,62,70,77,96,137],"n-dimensional":[24,54,110],"space":[25,55],"to":[26,44,127,144],"identify":[27],"directions":[30,107],"star-shaped":[32],"heavy-tailed":[33,116,133],"statistical":[34],"distributions":[35,117],"with":[36,85,120,132],"irregularly":[37],"positioned":[38],"\u201cspokes\u201d":[39],"\u201cclutters\u201d.":[41],"In":[42],"order":[43],"achieve":[45],"robustness":[46],"efficiency,":[48],"proposed":[50],"adopts":[56],"two-level":[58],"median":[59],"fit":[60],"process":[61],"local":[64],"neighbor":[65],"given":[68],"direction":[69,95],"each":[71],"iteration.":[72],"Computational":[73],"results":[74],"indicate":[75],"that":[76],"terms":[78],"accuracy":[80],"is":[83,91],"competitive":[84],"well-known":[87],"PCAs":[88],"when":[89],"there":[90],"only":[92],"one":[93],"data,":[98,139],"can":[102],"further":[103],"determine":[104],"multiple":[105],"data":[111],"from":[112],"superimposed":[113],"Gaussians":[114],"or":[115],"without":[118],"patterned":[121],"artificial":[122],"outliers.":[123],"With":[124],"ability":[126],"recover":[128],"complex":[129],"spoke":[130],"structures":[131],"noise":[134],"clutter":[136],"has":[142],"potential":[143],"generate":[145],"better":[146],"semantics":[147],"than":[148],"other":[149],"methods.":[150]},"counts_by_year":[{"year":2018,"cited_by_count":2},{"year":2014,"cited_by_count":1}],"updated_date":"2026-04-09T08:11:56.329763","created_date":"2025-10-10T00:00:00"}
