{"id":"https://openalex.org/W2435410633","doi":"https://doi.org/10.1109/socpar.2015.7492807","title":"Vertical collaborative clustering using generative topographic maps","display_name":"Vertical collaborative clustering using generative topographic maps","publication_year":2015,"publication_date":"2015-11-01","ids":{"openalex":"https://openalex.org/W2435410633","doi":"https://doi.org/10.1109/socpar.2015.7492807","mag":"2435410633"},"language":"en","primary_location":{"id":"doi:10.1109/socpar.2015.7492807","is_oa":false,"landing_page_url":"https://doi.org/10.1109/socpar.2015.7492807","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 7th International Conference of Soft Computing and Pattern Recognition (SoCPaR)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5103021210","display_name":"J\u00e9r\u00e9mie Sublime","orcid":"https://orcid.org/0000-0003-0508-8550"},"institutions":[{"id":"https://openalex.org/I22248866","display_name":"AgroParisTech","ror":"https://ror.org/02kbmgc12","country_code":"FR","type":"education","lineage":["https://openalex.org/I22248866","https://openalex.org/I277688954"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Jeremie Sublime","raw_affiliation_strings":["AgroParisTech INRA UMR MIA 518 Paris, Paris, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"AgroParisTech INRA UMR MIA 518 Paris, Paris, France","institution_ids":["https://openalex.org/I22248866"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5007160877","display_name":"Nistor Grozavu","orcid":"https://orcid.org/0000-0001-7502-8022"},"institutions":[{"id":"https://openalex.org/I22248866","display_name":"AgroParisTech","ror":"https://ror.org/02kbmgc12","country_code":"FR","type":"education","lineage":["https://openalex.org/I22248866","https://openalex.org/I277688954"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Nistor Grozavu","raw_affiliation_strings":["AgroParisTech INRA UMR MIA 518 Paris, Paris, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"AgroParisTech INRA UMR MIA 518 Paris, Paris, France","institution_ids":["https://openalex.org/I22248866"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5019338743","display_name":"Youn\u00e8s Bennani","orcid":"https://orcid.org/0000-0003-3667-3357"},"institutions":[{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"government","lineage":["https://openalex.org/I1294671590"]},{"id":"https://openalex.org/I4210091279","display_name":"Universit\u00e9 Sorbonne Paris Nord","ror":"https://ror.org/0199hds37","country_code":"FR","type":"education","lineage":["https://openalex.org/I4210091279"]},{"id":"https://openalex.org/I4210091437","display_name":"Sorbonne Paris Cit\u00e9","ror":"https://ror.org/001z21q04","country_code":"FR","type":"other","lineage":["https://openalex.org/I4210091437"]},{"id":"https://openalex.org/I4210156583","display_name":"Laboratoire d'Informatique de Paris-Nord","ror":"https://ror.org/05g1zjw44","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I4210091279","https://openalex.org/I4210156583","https://openalex.org/I4210159245"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Younes Bennani","raw_affiliation_strings":["Sorbonne Paris Cite LIPN UMR CNRS 7030, Universite Paris 13, Villetaneuse, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Sorbonne Paris Cite LIPN UMR CNRS 7030, Universite Paris 13, Villetaneuse, France","institution_ids":["https://openalex.org/I1294671590","https://openalex.org/I4210091279","https://openalex.org/I4210091437","https://openalex.org/I4210156583"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5050061032","display_name":"Antoine Cornu\u00e9jols","orcid":"https://orcid.org/0000-0002-2979-3521"},"institutions":[{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"government","lineage":["https://openalex.org/I1294671590"]},{"id":"https://openalex.org/I4210091279","display_name":"Universit\u00e9 Sorbonne Paris Nord","ror":"https://ror.org/0199hds37","country_code":"FR","type":"education","lineage":["https://openalex.org/I4210091279"]},{"id":"https://openalex.org/I4210091437","display_name":"Sorbonne Paris Cit\u00e9","ror":"https://ror.org/001z21q04","country_code":"FR","type":"other","lineage":["https://openalex.org/I4210091437"]},{"id":"https://openalex.org/I4210156583","display_name":"Laboratoire d'Informatique de Paris-Nord","ror":"https://ror.org/05g1zjw44","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I4210091279","https://openalex.org/I4210156583","https://openalex.org/I4210159245"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Antoine Cornuejols","raw_affiliation_strings":["Sorbonne Paris Cite LIPN UMR CNRS 7030, Universite Paris 13, Villetaneuse, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Sorbonne Paris Cite LIPN UMR CNRS 7030, Universite Paris 13, Villetaneuse, France","institution_ids":["https://openalex.org/I1294671590","https://openalex.org/I4210091279","https://openalex.org/I4210091437","https://openalex.org/I4210156583"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.4568,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.8400992,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":"15","issue":null,"first_page":"199","last_page":"204"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11309","display_name":"Music and Audio Processing","score":0.9889000058174133,"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"}},"topics":[{"id":"https://openalex.org/T11309","display_name":"Music and Audio Processing","score":0.9889000058174133,"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9799000024795532,"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/T10901","display_name":"Advanced Data Compression Techniques","score":0.9789000153541565,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.8442859649658203},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7562997341156006},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.5604248642921448},{"id":"https://openalex.org/keywords/generative-grammar","display_name":"Generative grammar","score":0.5473355054855347},{"id":"https://openalex.org/keywords/collaborative-learning","display_name":"Collaborative learning","score":0.5044931173324585},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.501293420791626},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.46148955821990967},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.46140921115875244},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.12025818228721619}],"concepts":[{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.8442859649658203},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7562997341156006},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.5604248642921448},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.5473355054855347},{"id":"https://openalex.org/C138020889","wikidata":"https://www.wikidata.org/wiki/Q2349659","display_name":"Collaborative learning","level":2,"score":0.5044931173324585},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.501293420791626},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.46148955821990967},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.46140921115875244},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.12025818228721619},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C56739046","wikidata":"https://www.wikidata.org/wiki/Q192060","display_name":"Knowledge management","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/socpar.2015.7492807","is_oa":false,"landing_page_url":"https://doi.org/10.1109/socpar.2015.7492807","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 7th International Conference of Soft Computing and Pattern Recognition (SoCPaR)","raw_type":"proceedings-article"},{"id":"pmh:oai:HAL:hal-01589449v1","is_oa":false,"landing_page_url":"https://agroparistech.hal.science/hal-01589449","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":"https://archives-publications.inrae.fr/377677.pdf","raw_type":"info:eu-repo/semantics/conferenceObject"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W1505527421","https://openalex.org/W1638141342","https://openalex.org/W1973892392","https://openalex.org/W2024867567","https://openalex.org/W2049633694","https://openalex.org/W2051224630","https://openalex.org/W2066425372","https://openalex.org/W2107636931","https://openalex.org/W2144701956","https://openalex.org/W3036192984","https://openalex.org/W4245176872","https://openalex.org/W4285719527"],"related_works":["https://openalex.org/W2380075625","https://openalex.org/W4298130764","https://openalex.org/W2804364458","https://openalex.org/W4390718435","https://openalex.org/W4390549206","https://openalex.org/W3137171911","https://openalex.org/W2132641928","https://openalex.org/W4310225030","https://openalex.org/W4379540039","https://openalex.org/W2090259340"],"abstract_inverted_index":{"Collaborative":[0],"clustering":[1,25,57],"is":[2],"a":[3,39,49,97],"recent":[4],"field":[5],"of":[6,41,107],"Machine":[7],"Learning":[8],"that":[9],"shows":[10],"similarities":[11],"with":[12,38,104],"both":[13],"transfer":[14],"learning":[15,52],"and":[16,31,36,59,89,93,122],"ensemble":[17],"learning.":[18],"It":[19],"uses":[20],"two-step":[21],"approaches":[22],"where":[23,80],"different":[24,77],"algorithms":[26],"first":[27],"process":[28],"data":[29,78,91,120],"individually":[30],"then":[32,94],"exchange":[33],"their":[34],"information":[35],"results":[37,125],"goal":[40,106],"mutual":[42],"improvement.":[43],"In":[44],"this":[45],"article,":[46],"we":[47],"introduce":[48],"new":[50],"collaborative":[51,56,98],"approach":[53,114],"based":[54],"on":[55,76,100,118],"principles":[58],"applied":[60],"to":[61,95],"the":[62,73,101,105,123],"Generative":[63],"Topographic":[64],"Mapping":[65],"(GTM)":[66],"algorithm.":[67],"Our":[68],"method":[69],"consists":[70],"in":[71],"applying":[72],"GTM":[74],"algorithm":[75],"sets":[79],"similar":[81,90],"clusters":[82],"can":[83],"be":[84],"found":[85],"(same":[86],"feature":[87],"spaces":[88],"distributions),":[92],"use":[96],"framework":[99],"generated":[102],"maps":[103],"transferring":[108],"knowledge":[109],"between":[110],"them.":[111],"The":[112],"proposed":[113],"has":[115],"been":[116],"validated":[117],"several":[119],"sets,":[121],"experimental":[124],"have":[126],"shown":[127],"very":[128],"promising":[129],"performances.":[130]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":2},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":3},{"year":2016,"cited_by_count":2}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
