{"id":"https://openalex.org/W2125597085","doi":"https://doi.org/10.1109/icnc.2011.6022080","title":"Improving visualization of mixed-type data with a dynamic SOM","display_name":"Improving visualization of mixed-type data with a dynamic SOM","publication_year":2011,"publication_date":"2011-07-01","ids":{"openalex":"https://openalex.org/W2125597085","doi":"https://doi.org/10.1109/icnc.2011.6022080","mag":"2125597085"},"language":"en","primary_location":{"id":"doi:10.1109/icnc.2011.6022080","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icnc.2011.6022080","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 Seventh International Conference on Natural Computation","raw_type":"proceedings-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/A5062838124","display_name":"Wei-Shen Tai","orcid":null},"institutions":[{"id":"https://openalex.org/I75357094","display_name":"National Yunlin University of Science and Technology","ror":"https://ror.org/04qkq2m54","country_code":"TW","type":"education","lineage":["https://openalex.org/I75357094"]}],"countries":["TW"],"is_corresponding":true,"raw_author_name":"Wei-Shen Tai","raw_affiliation_strings":["Department of Information Management, National Yunlin University of Science and Technology, Yunlin, Taiwan","Department of Information Management, National Yunlin University of Science and Technology, Taiwan"],"affiliations":[{"raw_affiliation_string":"Department of Information Management, National Yunlin University of Science and Technology, Yunlin, Taiwan","institution_ids":["https://openalex.org/I75357094"]},{"raw_affiliation_string":"Department of Information Management, National Yunlin University of Science and Technology, Taiwan","institution_ids":["https://openalex.org/I75357094"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5064947657","display_name":"Chung-Chian Hsu","orcid":"https://orcid.org/0000-0001-7806-0167"},"institutions":[{"id":"https://openalex.org/I75357094","display_name":"National Yunlin University of Science and Technology","ror":"https://ror.org/04qkq2m54","country_code":"TW","type":"education","lineage":["https://openalex.org/I75357094"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Chung-Chian Hsu","raw_affiliation_strings":["Department of Information Management, National Yunlin University of Science and Technology, Yunlin, Taiwan","Department of Information Management, National Yunlin University of Science and Technology, Taiwan"],"affiliations":[{"raw_affiliation_string":"Department of Information Management, National Yunlin University of Science and Technology, Yunlin, Taiwan","institution_ids":["https://openalex.org/I75357094"]},{"raw_affiliation_string":"Department of Information Management, National Yunlin University of Science and Technology, Taiwan","institution_ids":["https://openalex.org/I75357094"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5062838124"],"corresponding_institution_ids":["https://openalex.org/I75357094"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.12689541,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"3","issue":null,"first_page":"431","last_page":"435"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.9987999796867371,"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":0.9987999796867371,"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/T10637","display_name":"Advanced Clustering Algorithms Research","score":0.9818999767303467,"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/T10057","display_name":"Face and Expression Recognition","score":0.972000002861023,"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/computer-science","display_name":"Computer science","score":0.7758253216743469},{"id":"https://openalex.org/keywords/categorical-variable","display_name":"Categorical variable","score":0.6879113912582397},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.6028751730918884},{"id":"https://openalex.org/keywords/constraint","display_name":"Constraint (computer-aided design)","score":0.5974420309066772},{"id":"https://openalex.org/keywords/hierarchy","display_name":"Hierarchy","score":0.5863239169120789},{"id":"https://openalex.org/keywords/self-organizing-map","display_name":"Self-organizing map","score":0.5753703713417053},{"id":"https://openalex.org/keywords/visualization","display_name":"Visualization","score":0.5650254487991333},{"id":"https://openalex.org/keywords/scheme","display_name":"Scheme (mathematics)","score":0.5175461173057556},{"id":"https://openalex.org/keywords/type","display_name":"Type (biology)","score":0.4271640479564667},{"id":"https://openalex.org/keywords/data-type","display_name":"Data type","score":0.4184049367904663},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.382110595703125},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.3471985459327698},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.33122581243515015},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.11510014533996582}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7758253216743469},{"id":"https://openalex.org/C5274069","wikidata":"https://www.wikidata.org/wiki/Q2285707","display_name":"Categorical variable","level":2,"score":0.6879113912582397},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.6028751730918884},{"id":"https://openalex.org/C2776036281","wikidata":"https://www.wikidata.org/wiki/Q48769818","display_name":"Constraint (computer-aided design)","level":2,"score":0.5974420309066772},{"id":"https://openalex.org/C31170391","wikidata":"https://www.wikidata.org/wiki/Q188619","display_name":"Hierarchy","level":2,"score":0.5863239169120789},{"id":"https://openalex.org/C111168008","wikidata":"https://www.wikidata.org/wiki/Q1136838","display_name":"Self-organizing map","level":3,"score":0.5753703713417053},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.5650254487991333},{"id":"https://openalex.org/C77618280","wikidata":"https://www.wikidata.org/wiki/Q1155772","display_name":"Scheme (mathematics)","level":2,"score":0.5175461173057556},{"id":"https://openalex.org/C2777299769","wikidata":"https://www.wikidata.org/wiki/Q3707858","display_name":"Type (biology)","level":2,"score":0.4271640479564667},{"id":"https://openalex.org/C138958017","wikidata":"https://www.wikidata.org/wiki/Q190087","display_name":"Data type","level":2,"score":0.4184049367904663},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.382110595703125},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.3471985459327698},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.33122581243515015},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.11510014533996582},{"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/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","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/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C34447519","wikidata":"https://www.wikidata.org/wiki/Q179522","display_name":"Market economy","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icnc.2011.6022080","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icnc.2011.6022080","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 Seventh International Conference on Natural Computation","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W342359399","https://openalex.org/W1585701436","https://openalex.org/W1978869197","https://openalex.org/W1990517717","https://openalex.org/W2046079134","https://openalex.org/W2051977990","https://openalex.org/W2059986167","https://openalex.org/W2061562428","https://openalex.org/W2061809153","https://openalex.org/W2090237271","https://openalex.org/W2111685427","https://openalex.org/W2122473047","https://openalex.org/W2134312057","https://openalex.org/W2158363765","https://openalex.org/W2168701898","https://openalex.org/W3120740533","https://openalex.org/W6635150723"],"related_works":["https://openalex.org/W2034551444","https://openalex.org/W2023416609","https://openalex.org/W4386799044","https://openalex.org/W2773208253","https://openalex.org/W2051216975","https://openalex.org/W2982550593","https://openalex.org/W1844640764","https://openalex.org/W2131191080","https://openalex.org/W4245750691","https://openalex.org/W2378724343"],"abstract_inverted_index":{"Self-Organizing":[0],"Map":[1],"(SOM)":[2],"possesses":[3],"an":[4],"effective":[5],"visualization":[6],"capability":[7],"for":[8],"supporting":[9],"analysts":[10],"efficiently":[11],"extract":[12],"valuable":[13],"information":[14],"from":[15],"a":[16,40,67,76],"large":[17],"amount":[18],"of":[19,30,39,95],"high-dimensional":[20],"data.":[21],"Growing":[22,68],"SOMs":[23,50,97],"were":[24],"proposed":[25,112],"to":[26,43,51,53,79],"overcome":[27],"the":[28,37,81,111],"constraint":[29],"fixed-size":[31],"map":[32],"in":[33,84],"conventional":[34],"SOMs.":[35,86],"Nevertheless,":[36],"lack":[38],"robust":[41],"solution":[42],"mixed-type":[44,103],"data":[45,104],"processing":[46],"causes":[47],"most":[48],"growing":[49,85,96],"fail":[52],"appropriately":[54],"manipulate":[55],"numeric,":[56],"ordinal":[57],"and":[58],"categorical":[59],"values":[60],"simultaneously.":[61],"In":[62],"this":[63],"paper,":[64],"we":[65],"propose":[66],"Mixed-type":[69],"SOM":[70],"(GMixSOM),":[71],"combining":[72],"distance":[73],"hierarchy":[74],"with":[75],"dynamic-structure":[77],"scheme":[78],"tackle":[80],"problems":[82],"occurring":[83],"Experimental":[87],"results":[88],"indicate":[89],"not":[90],"only":[91],"are":[92],"foregoing":[93],"drawbacks":[94],"improved":[98],"but":[99],"topological":[100],"relationship":[101],"between":[102],"can":[105],"be":[106],"also":[107],"revealed":[108],"effectively":[109],"via":[110],"model.":[113]},"counts_by_year":[{"year":2015,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
