{"id":"https://openalex.org/W2088709281","doi":"https://doi.org/10.3233/ida-1999-3203","title":"SOM-based data visualization methods","display_name":"SOM-based data visualization methods","publication_year":1999,"publication_date":"1999-03-01","ids":{"openalex":"https://openalex.org/W2088709281","doi":"https://doi.org/10.3233/ida-1999-3203","mag":"2088709281"},"language":"en","primary_location":{"id":"doi:10.3233/ida-1999-3203","doi":"https://doi.org/10.3233/ida-1999-3203","is_oa":false,"landing_page_url":"https://doi.org/10.3233/ida-1999-3203","pdf_url":null,"source":{"id":"https://openalex.org/S2498839158","display_name":"Intelligent Data Analysis","issn_l":"1088-467X","issn":["1088-467X","1571-4128"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["ccf-c","cwts-core","dongbi-d","jufo-1","ki-jl-1","norway-1","poland-70","russia-white-list-2","vabb-shw"],"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Intelligent Data Analysis","raw_type":"journal-article"},"volume":null,"type":"article","is_traditional":true,"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/A5006482229","display_name":"Juha Vesanto","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"J Vesanto","raw_affiliation_strings":["Laboratory of Computer and Information Science, Helsinki University of Technology, P.O. Box 5400, FIN-02015 HUT, Finland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Laboratory of Computer and Information Science, Helsinki University of Technology, P.O. Box 5400, FIN-02015 HUT, Finland","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":["https://openalex.org/A5006482229"],"corresponding_institution_ids":[],"apc_list":{"value":4150,"currency":"USD","value_usd":4150},"apc_paid":null,"fwci":16.1598,"has_fulltext":false,"cited_by_count":851,"citation_normalized_percentile":{"value":0.99385642,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":99,"max":100},"biblio":{"volume":"3","issue":"2","first_page":"111","last_page":"126"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.9692000150680542,"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/T10320","display_name":"Neural Networks and Applications","score":0.9692000150680542,"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/T10799","display_name":"Data Visualization and Analytics","score":0.026900000870227814,"subfield":{"id":"https://openalex.org/subfields/1704","display_name":"Computer Graphics and Computer-Aided Design"},"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/T10057","display_name":"Face and Expression Recognition","score":0.0005000000237487257,"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/self-organizing-maps","display_name":"self-organizing maps","score":0.8999999761581421},{"id":"https://openalex.org/keywords/data-visualization","display_name":"data visualization","score":0.8510000109672546},{"id":"https://openalex.org/keywords/multidimensional-data","display_name":"multidimensional data","score":0.7089999914169312},{"id":"https://openalex.org/keywords/visualization-techniques","display_name":"visualization techniques","score":0.7429999709129333}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6285899877548218},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.589083731174469},{"id":"https://openalex.org/C172367668","wikidata":"https://www.wikidata.org/wiki/Q6504956","display_name":"Data visualization","level":3,"score":0.41529643535614014},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.3450104594230652},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.3329738974571228},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.32621943950653076}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.3233/ida-1999-3203","doi":"https://doi.org/10.3233/ida-1999-3203","is_oa":false,"landing_page_url":"https://doi.org/10.3233/ida-1999-3203","pdf_url":null,"source":{"id":"https://openalex.org/S2498839158","display_name":"Intelligent Data Analysis","issn_l":"1088-467X","issn":["1088-467X","1571-4128"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["ccf-c","cwts-core","dongbi-d","jufo-1","ki-jl-1","norway-1","poland-70","russia-white-list-2","vabb-shw"],"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Intelligent Data Analysis","raw_type":"journal-article"},{"id":"doi:10.1016/s1088-467x(99)00013-x","doi":"https://doi.org/10.1016/s1088-467x(99)00013-x","is_oa":false,"landing_page_url":"https://doi.org/10.1016/s1088-467x(99)00013-x","pdf_url":null,"source":{"id":"https://openalex.org/S2498839158","display_name":"Intelligent Data Analysis","issn_l":"1088-467X","issn":["1088-467X","1571-4128"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["ccf-c","cwts-core","dongbi-d","jufo-1","ki-jl-1","norway-1","poland-70","russia-white-list-2","vabb-shw"],"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Intelligent Data Analysis","raw_type":"journal-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.26.8386","doi":null,"is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.26.8386","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.cis.hut.fi/projects/monitor/publications/papers/ida99.ps","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W68526433","https://openalex.org/W166587332","https://openalex.org/W1482753234","https://openalex.org/W1554663460","https://openalex.org/W1679913846","https://openalex.org/W2028646462","https://openalex.org/W2114959316","https://openalex.org/W2117812871","https://openalex.org/W2122247511","https://openalex.org/W2148394752","https://openalex.org/W2156771765","https://openalex.org/W2158340798","https://openalex.org/W2171209182","https://openalex.org/W2607037272","https://openalex.org/W2731644731","https://openalex.org/W3036846224"],"related_works":["https://openalex.org/W1533457788","https://openalex.org/W2915080992","https://openalex.org/W1596537840","https://openalex.org/W59066525","https://openalex.org/W6998503577","https://openalex.org/W141021718","https://openalex.org/W2090685975","https://openalex.org/W2972532724","https://openalex.org/W7096361996","https://openalex.org/W1534182342"],"abstract_inverted_index":{"The":[0,34],"self-organizing":[1],"map":[2],"(SOM)":[3],"is":[4,32,36],"an":[5,17,39],"efficient":[6],"tool":[7],"for":[8,27],"visualization":[9,29],"of":[10,21,30,41,44,65,78],"multidimensional":[11],"numerical":[12],"data.":[13],"In":[14],"this":[15],"paper,":[16],"overview":[18],"and":[19,24,52,86],"categorization":[20],"both":[22],"old":[23],"new":[25],"methods":[26,68],"the":[28,54,66,74],"SOM":[31,55],"presented.":[33],"purpose":[35],"to":[37],"give":[38],"idea":[40],"what":[42],"kind":[43],"information":[45],"can":[46,56,69],"be":[47,58,71],"acquired":[48],"from":[49],"different":[50],"presentations":[51],"how":[53],"best":[57],"utilized":[59],"in":[60,73],"exploratory":[61],"data":[62],"visualization.":[63],"Most":[64],"presented":[67],"also":[70],"applied":[72],"more":[75],"general":[76],"case":[77],"first":[79],"making":[80],"a":[81,88],"vector":[82,89],"quantization":[83],"(e.g.":[84,91],"k-means)":[85],"then":[87],"projection":[90],"Sammon's":[92],"mapping).":[93]},"counts_by_year":[{"year":2026,"cited_by_count":18},{"year":2025,"cited_by_count":16},{"year":2024,"cited_by_count":12},{"year":2023,"cited_by_count":24},{"year":2022,"cited_by_count":16},{"year":2021,"cited_by_count":18},{"year":2020,"cited_by_count":30},{"year":2019,"cited_by_count":27},{"year":2018,"cited_by_count":24},{"year":2017,"cited_by_count":25},{"year":2016,"cited_by_count":32},{"year":2015,"cited_by_count":35},{"year":2014,"cited_by_count":43},{"year":2013,"cited_by_count":57},{"year":2012,"cited_by_count":57}],"updated_date":"2026-11-12T12:28:57.059296","created_date":"2016-06-24T00:00:00"}