{"id":"https://openalex.org/W2084981517","doi":"https://doi.org/10.1109/tpami.1983.4767352","title":"Fisher Discriminant Analysis and Factor Analysis","display_name":"Fisher Discriminant Analysis and Factor Analysis","publication_year":1983,"publication_date":"1983-01-01","ids":{"openalex":"https://openalex.org/W2084981517","doi":"https://doi.org/10.1109/tpami.1983.4767352","mag":"2084981517","pmid":"https://pubmed.ncbi.nlm.nih.gov/21869091"},"language":"en","primary_location":{"id":"doi:10.1109/tpami.1983.4767352","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tpami.1983.4767352","pdf_url":null,"source":{"id":"https://openalex.org/S199944782","display_name":"IEEE Transactions on Pattern Analysis and Machine Intelligence","issn_l":"0162-8828","issn":["0162-8828","1939-3539","2160-9292"],"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 Pattern Analysis and Machine Intelligence","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"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/A5046274130","display_name":"Giacomo Della Riccia","orcid":null},"institutions":[{"id":"https://openalex.org/I124227911","display_name":"Ben-Gurion University of the Negev","ror":"https://ror.org/05tkyf982","country_code":"IL","type":"education","lineage":["https://openalex.org/I124227911"]}],"countries":["IL"],"is_corresponding":true,"raw_author_name":"Giacomo Della Riccia","raw_affiliation_strings":["Ben-Gurion University of the Negev, Beer-Sheva, Israel; Istituto di Matematica, Universita di Udine, 33100 Udine, Italy","Ben-Gurion University of the Negev, Beer-Sheva, Israel","Istituto di Matematica, Universita di Udine, 33100 Udine, Italy"],"affiliations":[{"raw_affiliation_string":"Ben-Gurion University of the Negev, Beer-Sheva, Israel; Istituto di Matematica, Universita di Udine, 33100 Udine, Italy","institution_ids":[]},{"raw_affiliation_string":"Ben-Gurion University of the Negev, Beer-Sheva, Israel","institution_ids":["https://openalex.org/I124227911"]},{"raw_affiliation_string":"Istituto di Matematica, Universita di Udine, 33100 Udine, Italy","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5025917676","display_name":"Alexander Shapiro","orcid":"https://orcid.org/0000-0002-4776-0053"},"institutions":[{"id":"https://openalex.org/I124227911","display_name":"Ben-Gurion University of the Negev","ror":"https://ror.org/05tkyf982","country_code":"IL","type":"education","lineage":["https://openalex.org/I124227911"]}],"countries":["IL"],"is_corresponding":false,"raw_author_name":"Alexander Shapiro","raw_affiliation_strings":["Ben-Gurion University of the Negev, Beer-Sheva, Israel; Department of Statistics and Operations Research, University of South Africa, 0001 Pretoria, South Africa","Department of Statistics and Operations Research, University of South Africa, 0001 Pretoria, South Africa","Ben-Gurion University of the Negev, Beer-Sheva, Israel"],"affiliations":[{"raw_affiliation_string":"Ben-Gurion University of the Negev, Beer-Sheva, Israel; Department of Statistics and Operations Research, University of South Africa, 0001 Pretoria, South Africa","institution_ids":[]},{"raw_affiliation_string":"Department of Statistics and Operations Research, University of South Africa, 0001 Pretoria, South Africa","institution_ids":[]},{"raw_affiliation_string":"Ben-Gurion University of the Negev, Beer-Sheva, Israel","institution_ids":["https://openalex.org/I124227911"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5046274130"],"corresponding_institution_ids":["https://openalex.org/I124227911"],"apc_list":null,"apc_paid":null,"fwci":0.7752,"has_fulltext":false,"cited_by_count":15,"citation_normalized_percentile":{"value":0.80690615,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":"PAMI-5","issue":"1","first_page":"99","last_page":"104"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11303","display_name":"Bayesian Modeling and Causal Inference","score":0.9495000243186951,"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/T11303","display_name":"Bayesian Modeling and Causal Inference","score":0.9495000243186951,"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":0.9132999777793884,"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/T11871","display_name":"Advanced Statistical Methods and Models","score":0.9023000001907349,"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/linear-discriminant-analysis","display_name":"Linear discriminant analysis","score":0.8539834022521973},{"id":"https://openalex.org/keywords/optimal-discriminant-analysis","display_name":"Optimal discriminant analysis","score":0.7634062767028809},{"id":"https://openalex.org/keywords/factor","display_name":"Factor (programming language)","score":0.7366139888763428},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7285467386245728},{"id":"https://openalex.org/keywords/kernel-fisher-discriminant-analysis","display_name":"Kernel Fisher discriminant analysis","score":0.6977921724319458},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.6088336706161499},{"id":"https://openalex.org/keywords/multiple-discriminant-analysis","display_name":"Multiple discriminant analysis","score":0.5994507670402527},{"id":"https://openalex.org/keywords/discriminant","display_name":"Discriminant","score":0.5728912353515625},{"id":"https://openalex.org/keywords/fisher-kernel","display_name":"Fisher kernel","score":0.5702221989631653},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5090274810791016},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4326663017272949},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.43120312690734863},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3364624083042145}],"concepts":[{"id":"https://openalex.org/C69738355","wikidata":"https://www.wikidata.org/wiki/Q1228929","display_name":"Linear discriminant analysis","level":2,"score":0.8539834022521973},{"id":"https://openalex.org/C104500394","wikidata":"https://www.wikidata.org/wiki/Q17104912","display_name":"Optimal discriminant analysis","level":3,"score":0.7634062767028809},{"id":"https://openalex.org/C2781039887","wikidata":"https://www.wikidata.org/wiki/Q1391724","display_name":"Factor (programming language)","level":2,"score":0.7366139888763428},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7285467386245728},{"id":"https://openalex.org/C181367576","wikidata":"https://www.wikidata.org/wiki/Q6394184","display_name":"Kernel Fisher discriminant analysis","level":4,"score":0.6977921724319458},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.6088336706161499},{"id":"https://openalex.org/C58596280","wikidata":"https://www.wikidata.org/wiki/Q28324849","display_name":"Multiple discriminant analysis","level":3,"score":0.5994507670402527},{"id":"https://openalex.org/C78397625","wikidata":"https://www.wikidata.org/wiki/Q192487","display_name":"Discriminant","level":2,"score":0.5728912353515625},{"id":"https://openalex.org/C207798031","wikidata":"https://www.wikidata.org/wiki/Q8563425","display_name":"Fisher kernel","level":5,"score":0.5702221989631653},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5090274810791016},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4326663017272949},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.43120312690734863},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3364624083042145},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C31510193","wikidata":"https://www.wikidata.org/wiki/Q1192553","display_name":"Facial recognition system","level":3,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tpami.1983.4767352","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tpami.1983.4767352","pdf_url":null,"source":{"id":"https://openalex.org/S199944782","display_name":"IEEE Transactions on Pattern Analysis and Machine Intelligence","issn_l":"0162-8828","issn":["0162-8828","1939-3539","2160-9292"],"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 Pattern Analysis and Machine Intelligence","raw_type":"journal-article"},{"id":"pmid:21869091","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/21869091","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on pattern analysis and machine intelligence","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7699999809265137,"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":10,"referenced_works":["https://openalex.org/W1748168094","https://openalex.org/W1963647550","https://openalex.org/W1971747485","https://openalex.org/W2030328665","https://openalex.org/W2084134149","https://openalex.org/W3113812747","https://openalex.org/W4212869706","https://openalex.org/W4289256183","https://openalex.org/W6637766136","https://openalex.org/W6787775395"],"related_works":["https://openalex.org/W2141981133","https://openalex.org/W2365801610","https://openalex.org/W2354551251","https://openalex.org/W2162393942","https://openalex.org/W2538559652","https://openalex.org/W2025089370","https://openalex.org/W3147024994","https://openalex.org/W2321869780","https://openalex.org/W1741177776","https://openalex.org/W2093905390"],"abstract_inverted_index":{"We":[0],"show":[1],"that":[2],"information":[3,20],"on":[4],"the":[5,33,42],"inherent":[6],"structure":[7],"of":[8,44],"multidimensional":[9],"data":[10],"derived":[11],"from":[12],"a":[13,45],"factor":[14,34,46],"analysis":[15,25,35,47,52],"procedure":[16],"is":[17,53],"equivalent":[18],"to":[19],"obtained":[21],"by":[22],"Fisher":[23,50],"discriminant":[24,51],"techniques,":[26],"provided":[27],"certain":[28],"conditions,":[29],"usually":[30],"required":[31],"in":[32,60],"model,":[36],"are":[37],"satisfied.":[38],"The":[39],"results":[40],"advocate":[41],"use":[43],"approach":[48],"when":[49],"not":[54],"applicable,":[55],"such":[56],"as,":[57],"for":[58],"instance,":[59],"clustering":[61],"problems.":[62]},"counts_by_year":[{"year":2024,"cited_by_count":4},{"year":2017,"cited_by_count":1},{"year":2012,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2016-06-24T00:00:00"}
