{"id":"https://openalex.org/W1600114606","doi":"https://doi.org/10.1109/ijcnn.2005.1556110","title":"A visualization technique for self-organizing maps with vector fields to obtain the cluster structure at desired levels of detail","display_name":"A visualization technique for self-organizing maps with vector fields to obtain the cluster structure at desired levels of detail","publication_year":2006,"publication_date":"2006-01-05","ids":{"openalex":"https://openalex.org/W1600114606","doi":"https://doi.org/10.1109/ijcnn.2005.1556110","mag":"1600114606"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn.2005.1556110","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2005.1556110","pdf_url":null,"source":{"id":"https://openalex.org/S4363609022","display_name":"Proceedings. 2005 IEEE International Joint Conference on Neural Networks, 2005.","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"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. 2005 IEEE International Joint Conference on Neural Networks, 2005.","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/A5014239414","display_name":"Georg P\u00f6lzlbauer","orcid":null},"institutions":[{"id":"https://openalex.org/I145847075","display_name":"TU Wien","ror":"https://ror.org/04d836q62","country_code":"AT","type":"education","lineage":["https://openalex.org/I145847075"]}],"countries":["AT"],"is_corresponding":true,"raw_author_name":"G. Polzlbauer","raw_affiliation_strings":["Department of Software Technology, University of Technology, Vienna, Vienna, Austria"],"affiliations":[{"raw_affiliation_string":"Department of Software Technology, University of Technology, Vienna, Vienna, Austria","institution_ids":["https://openalex.org/I145847075"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5009167696","display_name":"Michael Dittenbach","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"M. Dittenbach","raw_affiliation_strings":["E-Commerce Competence Center, Vienna, Austria"],"affiliations":[{"raw_affiliation_string":"E-Commerce Competence Center, Vienna, Austria","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5057690103","display_name":"Andreas Rauber","orcid":"https://orcid.org/0000-0002-9272-6225"},"institutions":[{"id":"https://openalex.org/I145847075","display_name":"TU Wien","ror":"https://ror.org/04d836q62","country_code":"AT","type":"education","lineage":["https://openalex.org/I145847075"]}],"countries":["AT"],"is_corresponding":false,"raw_author_name":"A. Rauber","raw_affiliation_strings":["Department of Software Technology, University of Technology, Vienna, Vienna, Austria"],"affiliations":[{"raw_affiliation_string":"Department of Software Technology, University of Technology, Vienna, Vienna, Austria","institution_ids":["https://openalex.org/I145847075"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5014239414"],"corresponding_institution_ids":["https://openalex.org/I145847075"],"apc_list":null,"apc_paid":null,"fwci":2.2804,"has_fulltext":false,"cited_by_count":15,"citation_normalized_percentile":{"value":0.87073171,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"3","issue":null,"first_page":"1558","last_page":"1563"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.9952999949455261,"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":0.9952999949455261,"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":0.9912999868392944,"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":0.9718999862670898,"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":0.7445154190063477},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.740205705165863},{"id":"https://openalex.org/keywords/granularity","display_name":"Granularity","score":0.7207362055778503},{"id":"https://openalex.org/keywords/visualization","display_name":"Visualization","score":0.7067214250564575},{"id":"https://openalex.org/keywords/pairwise-comparison","display_name":"Pairwise comparison","score":0.6841070055961609},{"id":"https://openalex.org/keywords/cluster","display_name":"Cluster (spacecraft)","score":0.5848175287246704},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.534339427947998},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.4791383445262909},{"id":"https://openalex.org/keywords/self-organizing-map","display_name":"Self-organizing map","score":0.47349271178245544},{"id":"https://openalex.org/keywords/exploratory-data-analysis","display_name":"Exploratory data analysis","score":0.42082759737968445},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.36823418736457825}],"concepts":[{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.7445154190063477},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.740205705165863},{"id":"https://openalex.org/C177774035","wikidata":"https://www.wikidata.org/wiki/Q1246948","display_name":"Granularity","level":2,"score":0.7207362055778503},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.7067214250564575},{"id":"https://openalex.org/C184898388","wikidata":"https://www.wikidata.org/wiki/Q1435712","display_name":"Pairwise comparison","level":2,"score":0.6841070055961609},{"id":"https://openalex.org/C164866538","wikidata":"https://www.wikidata.org/wiki/Q367351","display_name":"Cluster (spacecraft)","level":2,"score":0.5848175287246704},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.534339427947998},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.4791383445262909},{"id":"https://openalex.org/C111168008","wikidata":"https://www.wikidata.org/wiki/Q1136838","display_name":"Self-organizing map","level":3,"score":0.47349271178245544},{"id":"https://openalex.org/C120894424","wikidata":"https://www.wikidata.org/wiki/Q1322871","display_name":"Exploratory data analysis","level":2,"score":0.42082759737968445},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.36823418736457825},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","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/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/ijcnn.2005.1556110","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2005.1556110","pdf_url":null,"source":{"id":"https://openalex.org/S4363609022","display_name":"Proceedings. 2005 IEEE International Joint Conference on Neural Networks, 2005.","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"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. 2005 IEEE International Joint Conference on Neural Networks, 2005.","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.224.3745","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.224.3745","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.ifs.tuwien.ac.at/%7Epoelzlbauer/publications/Poe05IJCNN.pdf","raw_type":"text"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.60.3018","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.60.3018","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.ifs.tuwien.ac.at/~andi/publications/pdf/poe_ijcnn05.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320320300","display_name":"European Commission","ror":"https://ror.org/00k4n6c32"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W17418856","https://openalex.org/W158126193","https://openalex.org/W186156210","https://openalex.org/W198545802","https://openalex.org/W1541565701","https://openalex.org/W1570131942","https://openalex.org/W1656697623","https://openalex.org/W2110802877","https://openalex.org/W2118209142","https://openalex.org/W2122473047","https://openalex.org/W2155734020","https://openalex.org/W2615090770","https://openalex.org/W2915860409","https://openalex.org/W4245176872","https://openalex.org/W4247446713","https://openalex.org/W6600691717","https://openalex.org/W6607468540","https://openalex.org/W6632502944","https://openalex.org/W6634175573"],"related_works":["https://openalex.org/W2931688134","https://openalex.org/W2377919138","https://openalex.org/W2378857091","https://openalex.org/W4256502920","https://openalex.org/W103652678","https://openalex.org/W2999756192","https://openalex.org/W4226090359","https://openalex.org/W2595968725","https://openalex.org/W2751110224","https://openalex.org/W2527805201"],"abstract_inverted_index":{"Self-organizing":[0],"maps":[1],"(SOMs)":[2],"are":[3],"a":[4,55,106],"prominent":[5],"tool":[6],"for":[7,29],"exploratory":[8],"data":[9],"analysis.":[10],"One":[11],"core":[12],"task":[13],"within":[14],"the":[15,20,23,27,46,69,77,87,90,98],"utilization":[16],"of":[17,22,45,68,89,101],"SOMs":[18],"is":[19,83],"identification":[21],"cluster":[24,47,79],"structure":[25],"on":[26,58,66],"map":[28,70],"which":[30],"several":[31],"visualization":[32],"methods":[33],"have":[34],"been":[35],"proposed,":[36],"yet":[37],"different":[38],"application":[39],"domains":[40],"may":[41],"require":[42],"additional":[43],"representation":[44],"structure.":[48],"In":[49],"this":[50],"paper,":[51],"we":[52],"propose":[53],"such":[54],"method":[56],"based":[57],"pairwise":[59],"distance":[60],"calculation.":[61],"It":[62],"can":[63],"be":[64],"plotted":[65],"top":[67],"lattice":[71],"with":[72,105],"arrows":[73],"that":[74,85],"point":[75],"to":[76,108],"closest":[78],"center.":[80],"A":[81],"parameter":[82],"provided":[84],"determines":[86],"granularity":[88],"clustering.":[91],"We":[92],"provide":[93],"experimental":[94],"results":[95],"and":[96],"discuss":[97],"general":[99],"applicability":[100],"our":[102],"method,":[103],"along":[104],"comparison":[107],"related":[109],"techniques.":[110]},"counts_by_year":[{"year":2019,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2014,"cited_by_count":2},{"year":2013,"cited_by_count":1}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}
