{"id":"https://openalex.org/W4313481393","doi":"https://doi.org/10.1007/s11634-022-00531-5","title":"Sparse correspondence analysis for large contingency tables","display_name":"Sparse correspondence analysis for large contingency tables","publication_year":2023,"publication_date":"2023-01-02","ids":{"openalex":"https://openalex.org/W4313481393","doi":"https://doi.org/10.1007/s11634-022-00531-5"},"language":"en","primary_location":{"id":"doi:10.1007/s11634-022-00531-5","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s11634-022-00531-5","pdf_url":null,"source":{"id":"https://openalex.org/S4210175730","display_name":"Advances in Data Analysis and Classification","issn_l":"1862-5347","issn":["1862-5347","1862-5355"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Advances in Data Analysis and Classification","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/A5100767253","display_name":"Ruiping Liu","orcid":"https://orcid.org/0000-0001-8591-7712"},"institutions":[{"id":"https://openalex.org/I78675632","display_name":"Beijing Information Science & Technology University","ror":"https://ror.org/04xnqep60","country_code":"CN","type":"education","lineage":["https://openalex.org/I78675632"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Ruiping Liu","raw_affiliation_strings":["School of Applied Science, Beijing Information Science and Technology University, Beijing, China","BITSU - Beijing Information Science and Technology University (China)"],"raw_orcid":"https://orcid.org/0000-0001-8591-7712","affiliations":[{"raw_affiliation_string":"School of Applied Science, Beijing Information Science and Technology University, Beijing, China","institution_ids":["https://openalex.org/I78675632"]},{"raw_affiliation_string":"BITSU - Beijing Information Science and Technology University (China)","institution_ids":["https://openalex.org/I78675632"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5015160264","display_name":"Nd\u00e8ye Niang","orcid":"https://orcid.org/0000-0002-6109-9935"},"institutions":[{"id":"https://openalex.org/I124158823","display_name":"Conservatoire National des Arts et M\u00e9tiers","ror":"https://ror.org/0175hh227","country_code":"FR","type":"education","lineage":["https://openalex.org/I124158823","https://openalex.org/I4210134562"]},{"id":"https://openalex.org/I4210145724","display_name":"Centre d'Etudes et De Recherche en Informatique et Communications","ror":"https://ror.org/044j5mm75","country_code":"FR","type":"facility","lineage":["https://openalex.org/I4210145724"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Ndeye Niang","raw_affiliation_strings":["CEDRIC Lab, Conservatoire national des arts et m\u00e9tiers, 292 rue Saint Martin, 75003, Paris, France","CEDRIC - MSDMA - CEDRIC. M\u00e9thodes statistiques de data-mining et apprentissage (France)"],"raw_orcid":"https://orcid.org/0000-0002-6109-9935","affiliations":[{"raw_affiliation_string":"CEDRIC Lab, Conservatoire national des arts et m\u00e9tiers, 292 rue Saint Martin, 75003, Paris, France","institution_ids":["https://openalex.org/I124158823"]},{"raw_affiliation_string":"CEDRIC - MSDMA - CEDRIC. M\u00e9thodes statistiques de data-mining et apprentissage (France)","institution_ids":["https://openalex.org/I4210145724"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5019375557","display_name":"Gilbert Saporta","orcid":"https://orcid.org/0000-0002-3406-5887"},"institutions":[{"id":"https://openalex.org/I124158823","display_name":"Conservatoire National des Arts et M\u00e9tiers","ror":"https://ror.org/0175hh227","country_code":"FR","type":"education","lineage":["https://openalex.org/I124158823","https://openalex.org/I4210134562"]},{"id":"https://openalex.org/I4210145724","display_name":"Centre d'Etudes et De Recherche en Informatique et Communications","ror":"https://ror.org/044j5mm75","country_code":"FR","type":"facility","lineage":["https://openalex.org/I4210145724"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Gilbert Saporta","raw_affiliation_strings":["CEDRIC Lab, Conservatoire national des arts et m\u00e9tiers, 292 rue Saint Martin, 75003, Paris, France","CEDRIC - MSDMA - CEDRIC. M\u00e9thodes statistiques de data-mining et apprentissage (France)"],"raw_orcid":"https://orcid.org/0000-0002-3406-5887","affiliations":[{"raw_affiliation_string":"CEDRIC Lab, Conservatoire national des arts et m\u00e9tiers, 292 rue Saint Martin, 75003, Paris, France","institution_ids":["https://openalex.org/I124158823"]},{"raw_affiliation_string":"CEDRIC - MSDMA - CEDRIC. M\u00e9thodes statistiques de data-mining et apprentissage (France)","institution_ids":["https://openalex.org/I4210145724"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101791243","display_name":"Huiwen Wang","orcid":"https://orcid.org/0000-0001-7256-636X"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Huiwen Wang","raw_affiliation_strings":["School of Economics and Management and Beijing Advanced Innovation Center for Big Data and Brain Computing, Beihang University, Beijing, China","BUAA - Beihang University (Beijing 100083 \r\nPR China  - China)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Economics and Management and Beijing Advanced Innovation Center for Big Data and Brain Computing, Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]},{"raw_affiliation_string":"BUAA - Beihang University (Beijing 100083 \r\nPR China  - China)","institution_ids":["https://openalex.org/I82880672"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5100767253"],"corresponding_institution_ids":["https://openalex.org/I78675632"],"apc_list":{"value":2390,"currency":"EUR","value_usd":2990},"apc_paid":null,"fwci":0.5864,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.68229508,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"17","issue":"4","first_page":"1037","last_page":"1056"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12114","display_name":"Sensory Analysis and Statistical Methods","score":0.9825000166893005,"subfield":{"id":"https://openalex.org/subfields/1106","display_name":"Food Science"},"field":{"id":"https://openalex.org/fields/11","display_name":"Agricultural and Biological Sciences"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},"topics":[{"id":"https://openalex.org/T12114","display_name":"Sensory Analysis and Statistical Methods","score":0.9825000166893005,"subfield":{"id":"https://openalex.org/subfields/1106","display_name":"Food Science"},"field":{"id":"https://openalex.org/fields/11","display_name":"Agricultural and Biological Sciences"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T10064","display_name":"Complex Network Analysis Techniques","score":0.9524000287055969,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/row","display_name":"Row","score":0.8746987581253052},{"id":"https://openalex.org/keywords/contingency-table","display_name":"Contingency table","score":0.8535078167915344},{"id":"https://openalex.org/keywords/row-and-column-spaces","display_name":"Row and column spaces","score":0.6418102979660034},{"id":"https://openalex.org/keywords/correspondence-analysis","display_name":"Correspondence analysis","score":0.6099210381507874},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5718193650245667},{"id":"https://openalex.org/keywords/table","display_name":"Table (database)","score":0.5438790917396545},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5151885747909546},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4854924976825714},{"id":"https://openalex.org/keywords/k-svd","display_name":"K-SVD","score":0.47749704122543335},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.43608516454696655},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4194108247756958},{"id":"https://openalex.org/keywords/combinatorics","display_name":"Combinatorics","score":0.3454083800315857},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3341526389122009},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3093818128108978},{"id":"https://openalex.org/keywords/sparse-approximation","display_name":"Sparse approximation","score":0.27697235345840454},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.1604781448841095}],"concepts":[{"id":"https://openalex.org/C135598885","wikidata":"https://www.wikidata.org/wiki/Q1366302","display_name":"Row","level":2,"score":0.8746987581253052},{"id":"https://openalex.org/C91998498","wikidata":"https://www.wikidata.org/wiki/Q1541178","display_name":"Contingency table","level":2,"score":0.8535078167915344},{"id":"https://openalex.org/C104140500","wikidata":"https://www.wikidata.org/wiki/Q2088159","display_name":"Row and column spaces","level":3,"score":0.6418102979660034},{"id":"https://openalex.org/C148298330","wikidata":"https://www.wikidata.org/wiki/Q1784754","display_name":"Correspondence analysis","level":2,"score":0.6099210381507874},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5718193650245667},{"id":"https://openalex.org/C45235069","wikidata":"https://www.wikidata.org/wiki/Q278425","display_name":"Table (database)","level":2,"score":0.5438790917396545},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5151885747909546},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4854924976825714},{"id":"https://openalex.org/C154771677","wikidata":"https://www.wikidata.org/wiki/Q17098361","display_name":"K-SVD","level":3,"score":0.47749704122543335},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.43608516454696655},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4194108247756958},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.3454083800315857},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3341526389122009},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3093818128108978},{"id":"https://openalex.org/C124066611","wikidata":"https://www.wikidata.org/wiki/Q28684319","display_name":"Sparse approximation","level":2,"score":0.27697235345840454},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.1604781448841095},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1007/s11634-022-00531-5","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s11634-022-00531-5","pdf_url":null,"source":{"id":"https://openalex.org/S4210175730","display_name":"Advances in Data Analysis and Classification","issn_l":"1862-5347","issn":["1862-5347","1862-5355"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Advances in Data Analysis and Classification","raw_type":"journal-article"},{"id":"pmh:oai:HAL:hal-03919521v1","is_oa":false,"landing_page_url":"https://cnam.hal.science/hal-03919521","pdf_url":null,"source":{"id":"https://openalex.org/S4306402512","display_name":"HAL (Le Centre pour la Communication Scientifique Directe)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1294671590","host_organization_name":"Centre National de la Recherche Scientifique","host_organization_lineage":["https://openalex.org/I1294671590"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Advances in Data Analysis and Classification, 2023, 17 (4), pp.1037-1056. ⟨10.1007/s11634-022-00531-5⟩","raw_type":"Journal articles"},{"id":"pmh:oai:RePEc:spr:advdac:v:17:y:2023:i:4:d:10.1007_s11634-022-00531-5","is_oa":false,"landing_page_url":"http://link.springer.com/10.1007/s11634-022-00531-5","pdf_url":null,"source":{"id":"https://openalex.org/S4306401271","display_name":"RePEc: Research Papers in Economics","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I77793887","host_organization_name":"Federal Reserve Bank of St. Louis","host_organization_lineage":["https://openalex.org/I77793887"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.550000011920929,"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W205445820","https://openalex.org/W1835177631","https://openalex.org/W1975900269","https://openalex.org/W1980480365","https://openalex.org/W2031165514","https://openalex.org/W2044809283","https://openalex.org/W2094754409","https://openalex.org/W2095824149","https://openalex.org/W2098290597","https://openalex.org/W2113600901","https://openalex.org/W2323374545","https://openalex.org/W2560824302","https://openalex.org/W2597289420","https://openalex.org/W2793294044","https://openalex.org/W2921108005","https://openalex.org/W2952710771","https://openalex.org/W2979048415","https://openalex.org/W3123180678","https://openalex.org/W3174010055","https://openalex.org/W4210385472","https://openalex.org/W4245155814","https://openalex.org/W4252071700","https://openalex.org/W4293220659"],"related_works":["https://openalex.org/W2905020035","https://openalex.org/W2053809219","https://openalex.org/W2103890637","https://openalex.org/W4241249619","https://openalex.org/W2050486772","https://openalex.org/W4248638510","https://openalex.org/W2281029567","https://openalex.org/W4252639584","https://openalex.org/W2919086561","https://openalex.org/W4288077697"],"abstract_inverted_index":null,"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}