{"id":"https://openalex.org/W1984710582","doi":"https://doi.org/10.1109/fuzz-ieee.2012.6250813","title":"Feature extraction using fuzzy complete linear discriminant analysis","display_name":"Feature extraction using fuzzy complete linear discriminant analysis","publication_year":2012,"publication_date":"2012-06-01","ids":{"openalex":"https://openalex.org/W1984710582","doi":"https://doi.org/10.1109/fuzz-ieee.2012.6250813","mag":"1984710582"},"language":"en","primary_location":{"id":"doi:10.1109/fuzz-ieee.2012.6250813","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fuzz-ieee.2012.6250813","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 IEEE International Conference on Fuzzy Systems","raw_type":"proceedings-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/A5027995560","display_name":"Yan Cui","orcid":"https://orcid.org/0000-0002-7577-6845"},"institutions":[{"id":"https://openalex.org/I36399199","display_name":"Nanjing University of Science and Technology","ror":"https://ror.org/00xp9wg62","country_code":"CN","type":"education","lineage":["https://openalex.org/I36399199"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yan Cui","raw_affiliation_strings":["School of Computer Science and Technology, Nanjing University of Science and Technology of PLA, Nanjing, China","School of Computer Sci. & Tech, Nanjing Univ. of Sci. & Tech. 210094, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Nanjing University of Science and Technology of PLA, Nanjing, China","institution_ids":["https://openalex.org/I36399199"]},{"raw_affiliation_string":"School of Computer Sci. & Tech, Nanjing Univ. of Sci. & Tech. 210094, China","institution_ids":["https://openalex.org/I36399199"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5110212785","display_name":"Zhong Jin","orcid":null},"institutions":[{"id":"https://openalex.org/I36399199","display_name":"Nanjing University of Science and Technology","ror":"https://ror.org/00xp9wg62","country_code":"CN","type":"education","lineage":["https://openalex.org/I36399199"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhong Jin","raw_affiliation_strings":["School of Computer Science and Technology, Nanjing University of Science and Technology of PLA, Nanjing, China","School of Computer Sci. & Tech, Nanjing Univ. of Sci. & Tech. 210094, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Nanjing University of Science and Technology of PLA, Nanjing, China","institution_ids":["https://openalex.org/I36399199"]},{"raw_affiliation_string":"School of Computer Sci. & Tech, Nanjing Univ. of Sci. & Tech. 210094, China","institution_ids":["https://openalex.org/I36399199"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5027995560"],"corresponding_institution_ids":["https://openalex.org/I36399199"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.06679245,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"25","issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10057","display_name":"Face and Expression Recognition","score":0.9952999949455261,"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":0.9952999949455261,"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/T10320","display_name":"Neural Networks and Applications","score":0.9821000099182129,"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/T10640","display_name":"Spectroscopy and Chemometric Analyses","score":0.9736999869346619,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/linear-discriminant-analysis","display_name":"Linear discriminant analysis","score":0.8631197214126587},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.7967612743377686},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.7174292802810669},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6668059825897217},{"id":"https://openalex.org/keywords/dimensionality-reduction","display_name":"Dimensionality reduction","score":0.6518108248710632},{"id":"https://openalex.org/keywords/optimal-discriminant-analysis","display_name":"Optimal discriminant analysis","score":0.5587961077690125},{"id":"https://openalex.org/keywords/discriminant","display_name":"Discriminant","score":0.5480437874794006},{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"Fuzzy logic","score":0.5433070063591003},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5345970988273621},{"id":"https://openalex.org/keywords/curse-of-dimensionality","display_name":"Curse of dimensionality","score":0.5063482522964478},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.49564921855926514},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.42181625962257385},{"id":"https://openalex.org/keywords/sample","display_name":"Sample (material)","score":0.4214160144329071},{"id":"https://openalex.org/keywords/multiple-discriminant-analysis","display_name":"Multiple discriminant analysis","score":0.4174467921257019}],"concepts":[{"id":"https://openalex.org/C69738355","wikidata":"https://www.wikidata.org/wiki/Q1228929","display_name":"Linear discriminant analysis","level":2,"score":0.8631197214126587},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.7967612743377686},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.7174292802810669},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6668059825897217},{"id":"https://openalex.org/C70518039","wikidata":"https://www.wikidata.org/wiki/Q16000077","display_name":"Dimensionality reduction","level":2,"score":0.6518108248710632},{"id":"https://openalex.org/C104500394","wikidata":"https://www.wikidata.org/wiki/Q17104912","display_name":"Optimal discriminant analysis","level":3,"score":0.5587961077690125},{"id":"https://openalex.org/C78397625","wikidata":"https://www.wikidata.org/wiki/Q192487","display_name":"Discriminant","level":2,"score":0.5480437874794006},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.5433070063591003},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5345970988273621},{"id":"https://openalex.org/C111030470","wikidata":"https://www.wikidata.org/wiki/Q1430460","display_name":"Curse of dimensionality","level":2,"score":0.5063482522964478},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.49564921855926514},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.42181625962257385},{"id":"https://openalex.org/C198531522","wikidata":"https://www.wikidata.org/wiki/Q485146","display_name":"Sample (material)","level":2,"score":0.4214160144329071},{"id":"https://openalex.org/C58596280","wikidata":"https://www.wikidata.org/wiki/Q28324849","display_name":"Multiple discriminant analysis","level":3,"score":0.4174467921257019},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C43617362","wikidata":"https://www.wikidata.org/wiki/Q170050","display_name":"Chromatography","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"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:10.1109/fuzz-ieee.2012.6250813","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fuzz-ieee.2012.6250813","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 IEEE International Conference on Fuzzy Systems","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.727.9206","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.727.9206","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.patternrecognition.cn/%7Ezhongjin/2012/WCCI_cui_15.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities","score":0.7699999809265137}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":29,"referenced_works":["https://openalex.org/W1480487340","https://openalex.org/W1974097586","https://openalex.org/W1985809919","https://openalex.org/W1999056805","https://openalex.org/W2001619934","https://openalex.org/W2009596443","https://openalex.org/W2054639298","https://openalex.org/W2054865648","https://openalex.org/W2061375761","https://openalex.org/W2075372532","https://openalex.org/W2088900896","https://openalex.org/W2089322632","https://openalex.org/W2116019577","https://openalex.org/W2135346934","https://openalex.org/W2137611320","https://openalex.org/W2143340430","https://openalex.org/W2146820706","https://openalex.org/W2152939563","https://openalex.org/W2158114849","https://openalex.org/W2164071167","https://openalex.org/W2169073444","https://openalex.org/W2171347282","https://openalex.org/W2475432418","https://openalex.org/W2750378047","https://openalex.org/W3018586685","https://openalex.org/W3099514962","https://openalex.org/W4250857377","https://openalex.org/W6682609908","https://openalex.org/W6743593797"],"related_works":["https://openalex.org/W2063246903","https://openalex.org/W2375208160","https://openalex.org/W1999647744","https://openalex.org/W2350751952","https://openalex.org/W1984472287","https://openalex.org/W2544441948","https://openalex.org/W2128307858","https://openalex.org/W1534459252","https://openalex.org/W2113920489","https://openalex.org/W2362114017"],"abstract_inverted_index":{"In":[0,12,61],"pattern":[1],"recognition,":[2],"feature":[3,17],"extraction":[4,18],"techniques":[5],"are":[6,64],"widely":[7],"employed":[8],"to":[9],"dimensionality":[10],"reduction.":[11],"this":[13],"paper,":[14],"a":[15],"novel":[16],"method,":[19],"fuzzy":[20],"complete":[21,31],"linear":[22,32],"discriminant":[23,33],"analysis":[24,34],"(Fuzzy-CLDA),":[25],"is":[26],"proposed":[27],"by":[28],"combining":[29],"the":[30,37,45,55,58],"(CLDA)":[35],"and":[36,53,68],"membership":[38,47],"degrees":[39,48],"of":[40,57],"samples.":[41],"Furthermore,":[42],"we":[43],"calculate":[44],"sample":[46],"with":[49],"different":[50],"distance":[51,59],"metrics":[52],"compare":[54],"effectiveness":[56],"metrics.":[60],"addition,":[62],"experiments":[63],"provided":[65],"for":[66],"analyzing":[67],"illustrating":[69],"our":[70],"results.":[71]},"counts_by_year":[],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}