{"id":"https://openalex.org/W1974198014","doi":"https://doi.org/10.1007/s00180-009-0178-4","title":"KmL: k-means for longitudinal data","display_name":"KmL: k-means for longitudinal data","publication_year":2009,"publication_date":"2009-11-28","ids":{"openalex":"https://openalex.org/W1974198014","doi":"https://doi.org/10.1007/s00180-009-0178-4","mag":"1974198014"},"language":"en","primary_location":{"id":"doi:10.1007/s00180-009-0178-4","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s00180-009-0178-4","pdf_url":null,"source":{"id":"https://openalex.org/S8500805","display_name":"Computational Statistics","issn_l":"0943-4062","issn":["0943-4062","1613-9658"],"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":"Computational Statistics","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/A5110713561","display_name":"Christophe G\u00e9nolini","orcid":null},"institutions":[{"id":"https://openalex.org/I40434647","display_name":"Universit\u00e9 Paris Nanterre","ror":"https://ror.org/013bkhk48","country_code":"FR","type":"education","lineage":["https://openalex.org/I40434647"]},{"id":"https://openalex.org/I154526488","display_name":"Inserm","ror":"https://ror.org/02vjkv261","country_code":"FR","type":"funder","lineage":["https://openalex.org/I154526488"]}],"countries":["FR"],"is_corresponding":true,"raw_author_name":"Christophe Genolini","raw_affiliation_strings":["Inserm, U669, Paris, France","Modal\u2019X, Univ Paris Ouest Nanterre La D\u00e9fense, Paris, France"],"affiliations":[{"raw_affiliation_string":"Inserm, U669, Paris, France","institution_ids":["https://openalex.org/I154526488"]},{"raw_affiliation_string":"Modal\u2019X, Univ Paris Ouest Nanterre La D\u00e9fense, Paris, France","institution_ids":["https://openalex.org/I40434647"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5026960163","display_name":"Bruno Falissard","orcid":"https://orcid.org/0000-0002-2418-4954"},"institutions":[{"id":"https://openalex.org/I4210097159","display_name":"Assistance Publique \u2013 H\u00f4pitaux de Paris","ror":"https://ror.org/00pg5jh14","country_code":"FR","type":"funder","lineage":["https://openalex.org/I4210097159"]},{"id":"https://openalex.org/I110736937","display_name":"D\u00e9l\u00e9gation Paris 5","ror":"https://ror.org/02e0y6e06","country_code":"FR","type":"government","lineage":["https://openalex.org/I110736937","https://openalex.org/I154526488"]},{"id":"https://openalex.org/I204730241","display_name":"Universit\u00e9 Paris Cit\u00e9","ror":"https://ror.org/05f82e368","country_code":"FR","type":"education","lineage":["https://openalex.org/I204730241"]},{"id":"https://openalex.org/I4210164847","display_name":"H\u00f4pital Paul-Brousse","ror":"https://ror.org/05n7yzd13","country_code":"FR","type":"healthcare","lineage":["https://openalex.org/I4210097159","https://openalex.org/I4210164847","https://openalex.org/I4413047524"]},{"id":"https://openalex.org/I154526488","display_name":"Inserm","ror":"https://ror.org/02vjkv261","country_code":"FR","type":"funder","lineage":["https://openalex.org/I154526488"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Bruno Falissard","raw_affiliation_strings":["D\u00e9partement de sant\u00e9 publique, AP-HP, H\u00f4pital Paul Brousse, Villejuif, France","Inserm, U669, Paris, France","Univ Paris-Sud and Univ Paris Descartes, UMR-S0669, Paris, France"],"affiliations":[{"raw_affiliation_string":"D\u00e9partement de sant\u00e9 publique, AP-HP, H\u00f4pital Paul Brousse, Villejuif, France","institution_ids":["https://openalex.org/I4210164847","https://openalex.org/I4210097159"]},{"raw_affiliation_string":"Inserm, U669, Paris, France","institution_ids":["https://openalex.org/I154526488"]},{"raw_affiliation_string":"Univ Paris-Sud and Univ Paris Descartes, UMR-S0669, Paris, France","institution_ids":["https://openalex.org/I110736937","https://openalex.org/I204730241"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5110713561"],"corresponding_institution_ids":["https://openalex.org/I154526488","https://openalex.org/I40434647"],"apc_list":{"value":2490,"currency":"EUR","value_usd":3090},"apc_paid":null,"fwci":3.1707,"has_fulltext":false,"cited_by_count":252,"citation_normalized_percentile":{"value":0.91854491,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":100},"biblio":{"volume":"25","issue":"2","first_page":"317","last_page":"328"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11901","display_name":"Bayesian Methods and Mixture Models","score":0.9973000288009644,"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/T11901","display_name":"Bayesian Methods and Mixture Models","score":0.9973000288009644,"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/T10136","display_name":"Statistical Methods and Inference","score":0.9850000143051147,"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"}},{"id":"https://openalex.org/T10637","display_name":"Advanced Clustering Algorithms Research","score":0.9785000085830688,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.7529783248901367},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6477364301681519},{"id":"https://openalex.org/keywords/scope","display_name":"Scope (computer science)","score":0.641430675983429},{"id":"https://openalex.org/keywords/homogeneous","display_name":"Homogeneous","score":0.5576196908950806},{"id":"https://openalex.org/keywords/polynomial","display_name":"Polynomial","score":0.5326259732246399},{"id":"https://openalex.org/keywords/parametric-statistics","display_name":"Parametric statistics","score":0.5010173320770264},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4254592955112457},{"id":"https://openalex.org/keywords/missing-data","display_name":"Missing data","score":0.4102972447872162},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.25058597326278687},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.25048017501831055},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.22573235630989075},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.1966821253299713},{"id":"https://openalex.org/keywords/combinatorics","display_name":"Combinatorics","score":0.19054731726646423}],"concepts":[{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.7529783248901367},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6477364301681519},{"id":"https://openalex.org/C2778012447","wikidata":"https://www.wikidata.org/wiki/Q1034415","display_name":"Scope (computer science)","level":2,"score":0.641430675983429},{"id":"https://openalex.org/C66882249","wikidata":"https://www.wikidata.org/wiki/Q169336","display_name":"Homogeneous","level":2,"score":0.5576196908950806},{"id":"https://openalex.org/C90119067","wikidata":"https://www.wikidata.org/wiki/Q43260","display_name":"Polynomial","level":2,"score":0.5326259732246399},{"id":"https://openalex.org/C117251300","wikidata":"https://www.wikidata.org/wiki/Q1849855","display_name":"Parametric statistics","level":2,"score":0.5010173320770264},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4254592955112457},{"id":"https://openalex.org/C9357733","wikidata":"https://www.wikidata.org/wiki/Q6878417","display_name":"Missing data","level":2,"score":0.4102972447872162},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.25058597326278687},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.25048017501831055},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.22573235630989075},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.1966821253299713},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.19054731726646423},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","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":2,"locations":[{"id":"doi:10.1007/s00180-009-0178-4","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s00180-009-0178-4","pdf_url":null,"source":{"id":"https://openalex.org/S8500805","display_name":"Computational Statistics","issn_l":"0943-4062","issn":["0943-4062","1613-9658"],"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":"Computational Statistics","raw_type":"journal-article"},{"id":"pmh:oai:RePEc:spr:compst:v:25:y:2010:i:2:p:317-328","is_oa":false,"landing_page_url":"http://hdl.handle.net/10.1007/s00180-009-0178-4","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":[{"id":"https://metadata.un.org/sdg/3","display_name":"Good health and well-being","score":0.75}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":47,"referenced_works":["https://openalex.org/W161049316","https://openalex.org/W1493454437","https://openalex.org/W1557752234","https://openalex.org/W1598612182","https://openalex.org/W1623080549","https://openalex.org/W1973041621","https://openalex.org/W1975152892","https://openalex.org/W1977626606","https://openalex.org/W1983173908","https://openalex.org/W1984210972","https://openalex.org/W1988997815","https://openalex.org/W1997944093","https://openalex.org/W1998569590","https://openalex.org/W2000526324","https://openalex.org/W2010409955","https://openalex.org/W2013071495","https://openalex.org/W2030769837","https://openalex.org/W2056884786","https://openalex.org/W2059279601","https://openalex.org/W2062983764","https://openalex.org/W2068358331","https://openalex.org/W2076434863","https://openalex.org/W2085487226","https://openalex.org/W2097747115","https://openalex.org/W2098488382","https://openalex.org/W2108323654","https://openalex.org/W2109169395","https://openalex.org/W2116302707","https://openalex.org/W2120824283","https://openalex.org/W2123980993","https://openalex.org/W2124295641","https://openalex.org/W2128417352","https://openalex.org/W2142635246","https://openalex.org/W2143060555","https://openalex.org/W2150097763","https://openalex.org/W2150593711","https://openalex.org/W2151256021","https://openalex.org/W2153918101","https://openalex.org/W2164825364","https://openalex.org/W2168175751","https://openalex.org/W2171975443","https://openalex.org/W2612166593","https://openalex.org/W2913066018","https://openalex.org/W2999729612","https://openalex.org/W3149745985","https://openalex.org/W4252521233","https://openalex.org/W4300157606"],"related_works":["https://openalex.org/W3024870410","https://openalex.org/W2410652950","https://openalex.org/W4380150146","https://openalex.org/W4283773154","https://openalex.org/W3139174110","https://openalex.org/W4289597203","https://openalex.org/W1977098485","https://openalex.org/W2085630472","https://openalex.org/W4285201053","https://openalex.org/W2379877967"],"abstract_inverted_index":null,"counts_by_year":[{"year":2026,"cited_by_count":5},{"year":2025,"cited_by_count":24},{"year":2024,"cited_by_count":30},{"year":2023,"cited_by_count":23},{"year":2022,"cited_by_count":19},{"year":2021,"cited_by_count":33},{"year":2020,"cited_by_count":19},{"year":2019,"cited_by_count":20},{"year":2018,"cited_by_count":16},{"year":2017,"cited_by_count":11},{"year":2016,"cited_by_count":18},{"year":2015,"cited_by_count":13},{"year":2014,"cited_by_count":7},{"year":2013,"cited_by_count":7},{"year":2012,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
