{"id":"https://openalex.org/W2103442113","doi":"https://doi.org/10.1109/ijcnn.2000.861379","title":"A SOM based cluster visualization and its application for false coloring","display_name":"A SOM based cluster visualization and its application for false coloring","publication_year":2000,"publication_date":"2000-01-01","ids":{"openalex":"https://openalex.org/W2103442113","doi":"https://doi.org/10.1109/ijcnn.2000.861379","mag":"2103442113"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn.2000.861379","doi":"https://doi.org/10.1109/ijcnn.2000.861379","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2000.861379","pdf_url":null,"source":{"id":"https://openalex.org/S4363607707","display_name":"International Joint Conference on Neural Networks (IJCNN)","issn_l":"2161-4407","issn":["2161-4407"],"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":["jufo-1","norway-1"],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks. IJCNN 2000. Neural Computing: New Challenges and Perspectives for the New Millennium","raw_type":"proceedings-article"},"volume":null,"type":"conference-paper","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/A5024793945","display_name":"Johan Himberg","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"J. Himberg","raw_affiliation_strings":["Laboratory of Computer and Information Science, Helsinki University of Technology, Finland","Lab. of Computer and Information Science, Helsinki University of Technology, Espoo, Finland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Laboratory of Computer and Information Science, Helsinki University of Technology, Finland","institution_ids":[]},{"raw_affiliation_string":"Lab. of Computer and Information Science, Helsinki University of Technology, Espoo, Finland","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":["https://openalex.org/A5024793945"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":3.7954,"has_fulltext":false,"cited_by_count":77,"citation_normalized_percentile":{"value":0.93937397,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":88,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"587","last_page":"592 vol.3"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.9746000170707703,"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":0.9746000170707703,"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":0.019600000232458115,"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/T10481","display_name":"Computer Graphics and Visualization Techniques","score":0.000699999975040555,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/self-organizing-maps","display_name":"self-organizing maps","score":0.9629999995231628},{"id":"https://openalex.org/keywords/cluster-visualization","display_name":"cluster visualization","score":0.9810000061988831},{"id":"https://openalex.org/keywords/color-coding","display_name":"color coding","score":0.7039999961853027},{"id":"https://openalex.org/keywords/exploratory-data-visualization","display_name":"exploratory data visualization","score":0.6869999766349792}],"concepts":[{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.8302956223487854},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7757534980773926},{"id":"https://openalex.org/C104597421","wikidata":"https://www.wikidata.org/wiki/Q5148529","display_name":"Color-coding","level":2,"score":0.7415522933006287},{"id":"https://openalex.org/C172367668","wikidata":"https://www.wikidata.org/wiki/Q6504956","display_name":"Data visualization","level":3,"score":0.5009462833404541},{"id":"https://openalex.org/C164866538","wikidata":"https://www.wikidata.org/wiki/Q367351","display_name":"Cluster (spacecraft)","level":2,"score":0.5002660751342773},{"id":"https://openalex.org/C111168008","wikidata":"https://www.wikidata.org/wiki/Q1136838","display_name":"Self-organizing map","level":3,"score":0.49094751477241516},{"id":"https://openalex.org/C2961294","wikidata":"https://www.wikidata.org/wiki/Q166863","display_name":"Color space","level":3,"score":0.46866166591644287},{"id":"https://openalex.org/C33721204","wikidata":"https://www.wikidata.org/wiki/Q309949","display_name":"k-d tree","level":3,"score":0.44073840975761414},{"id":"https://openalex.org/C179518139","wikidata":"https://www.wikidata.org/wiki/Q5140297","display_name":"Coding (social sciences)","level":2,"score":0.43623101711273193},{"id":"https://openalex.org/C3019022308","wikidata":"https://www.wikidata.org/wiki/Q1418353","display_name":"Multidimensional data","level":2,"score":0.4192360043525696},{"id":"https://openalex.org/C14669888","wikidata":"https://www.wikidata.org/wiki/Q4014850","display_name":"Creative visualization","level":3,"score":0.4164424538612366},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.41149604320526123},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4095599949359894},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.4041008949279785},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3464927077293396},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.260695219039917},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.11766478419303894},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.07661804556846619},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","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},{"id":"https://openalex.org/C140745168","wikidata":"https://www.wikidata.org/wiki/Q1210082","display_name":"Tree traversal","level":2,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/ijcnn.2000.861379","doi":"https://doi.org/10.1109/ijcnn.2000.861379","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2000.861379","pdf_url":null,"source":{"id":"https://openalex.org/S4363607707","display_name":"International Joint Conference on Neural Networks (IJCNN)","issn_l":"2161-4407","issn":["2161-4407"],"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":["jufo-1","norway-1"],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks. IJCNN 2000. Neural Computing: New Challenges and Perspectives for the New Millennium","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.33.1830","doi":null,"is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.33.1830","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/ide/publications/papers/ijcnn2000.ps","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":7,"referenced_works":["https://openalex.org/W5050037","https://openalex.org/W1481233204","https://openalex.org/W1679913846","https://openalex.org/W2154780576","https://openalex.org/W3036846224","https://openalex.org/W3161200763","https://openalex.org/W4248055113"],"related_works":["https://openalex.org/W2106571390","https://openalex.org/W2615090770","https://openalex.org/W2109129474","https://openalex.org/W2165410760","https://openalex.org/W7099592453","https://openalex.org/W1600114606","https://openalex.org/W1591836254","https://openalex.org/W2355535325","https://openalex.org/W2607037272","https://openalex.org/W2277028133"],"abstract_inverted_index":{"The":[0,49,96],"self-organizing":[1],"map":[2],"(SOM)":[3],"is":[4,47,63,98],"widely":[5],"used":[6,53],"as":[7,101],"a":[8,18,22,27,35],"data":[9,24],"visualization":[10,30,107],"method":[11,37,50,97],"in":[12,85],"various":[13],"engineering":[14],"applications.":[15],"It":[16],"performs":[17],"nonlinear":[19],"mapping":[20],"from":[21],"high-dimensional":[23],"space":[25],"to":[26,54,64],"lower":[28],"dimensional":[29],"space.":[31],"In":[32],"this":[33],"paper,":[34],"simple":[36],"for":[38],"visualizing":[39],"the":[40,59,71,76,93],"cluster":[41,73,106],"structure":[42,74],"of":[43,75,92],"SOM":[44,77],"model":[45,78],"vectors":[46],"presented.":[48],"may":[51,82],"be":[52,83],"produce":[55],"tree-like":[56],"visualizations,":[57],"but":[58],"main":[60],"application":[61],"here":[62],"derive":[65],"different":[66],"color":[67,88],"coding":[68],"that":[69],"express":[70],"approximate":[72],"vectors.":[79],"This":[80],"coloring":[81],"exploited":[84],"making":[86],"false":[87],"(pseudo":[89],"color)":[90],"presentations":[91],"original":[94],"data.":[95],"especially":[99],"designed":[100],"an":[102],"easily":[103],"implementable,":[104],"explorative":[105],"tool.":[108]},"counts_by_year":[{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":6},{"year":2021,"cited_by_count":5},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":2},{"year":2015,"cited_by_count":3},{"year":2014,"cited_by_count":4},{"year":2013,"cited_by_count":2},{"year":2012,"cited_by_count":3}],"updated_date":"2026-10-26T11:51:55.731654","created_date":"2016-06-24T00:00:00"}