{"id":"https://openalex.org/W2142363274","doi":"https://doi.org/10.1109/tnn.2008.2005409","title":"Exploiting Data Topology in Visualization and Clustering of Self-Organizing Maps","display_name":"Exploiting Data Topology in Visualization and Clustering of Self-Organizing Maps","publication_year":2009,"publication_date":"2009-02-20","ids":{"openalex":"https://openalex.org/W2142363274","doi":"https://doi.org/10.1109/tnn.2008.2005409","mag":"2142363274","pmid":"https://pubmed.ncbi.nlm.nih.gov/19228556"},"language":"en","primary_location":{"id":"doi:10.1109/tnn.2008.2005409","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnn.2008.2005409","pdf_url":null,"source":{"id":"https://openalex.org/S42080949","display_name":"IEEE Transactions on Neural Networks","issn_l":"1045-9227","issn":["1045-9227","1941-0093"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Neural Networks","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"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/A5065386286","display_name":"Kadim Ta\u015fdemi\u0307r","orcid":"https://orcid.org/0000-0001-7519-1911"},"institutions":[{"id":"https://openalex.org/I74775410","display_name":"Rice University","ror":"https://ror.org/008zs3103","country_code":"US","type":"education","lineage":["https://openalex.org/I74775410"]},{"id":"https://openalex.org/I59944920","display_name":"Ya\u015far University","ror":"https://ror.org/00dz1eb96","country_code":"TR","type":"education","lineage":["https://openalex.org/I59944920"]}],"countries":["TR","US"],"is_corresponding":true,"raw_author_name":"K. Tasdemir","raw_affiliation_strings":["Electrical and Computer Engineering Department, Rice University, Houston, TX 77005 USA. kadim.tasdemir@yasar.edu.tr","Computer Engineering Department, Yasar University, Bornova, Izmir, Turkey","Electrical and Computer Engineering Department, Rice University, Houston, TX, USA"],"affiliations":[{"raw_affiliation_string":"Electrical and Computer Engineering Department, Rice University, Houston, TX 77005 USA. kadim.tasdemir@yasar.edu.tr","institution_ids":["https://openalex.org/I74775410"]},{"raw_affiliation_string":"Computer Engineering Department, Yasar University, Bornova, Izmir, Turkey","institution_ids":["https://openalex.org/I59944920"]},{"raw_affiliation_string":"Electrical and Computer Engineering Department, Rice University, Houston, TX, USA","institution_ids":["https://openalex.org/I74775410"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5009569707","display_name":"Erzs\u00e9bet Mer\u00e9nyi","orcid":"https://orcid.org/0000-0001-8705-6186"},"institutions":[{"id":"https://openalex.org/I74775410","display_name":"Rice University","ror":"https://ror.org/008zs3103","country_code":"US","type":"education","lineage":["https://openalex.org/I74775410"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"E. Merenyi","raw_affiliation_strings":["Electrical and Computer Engineering Department, Rice University, Houston, TX, USA"],"affiliations":[{"raw_affiliation_string":"Electrical and Computer Engineering Department, Rice University, Houston, TX, USA","institution_ids":["https://openalex.org/I74775410"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5065386286"],"corresponding_institution_ids":["https://openalex.org/I59944920","https://openalex.org/I74775410"],"apc_list":null,"apc_paid":null,"fwci":23.9897,"has_fulltext":false,"cited_by_count":173,"citation_normalized_percentile":{"value":0.99616459,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":100},"biblio":{"volume":"20","issue":"4","first_page":"549","last_page":"562"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.9990000128746033,"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":0.9990000128746033,"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":0.98580002784729,"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/T10637","display_name":"Advanced Clustering Algorithms Research","score":0.9837999939918518,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.70603346824646},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.6557916402816772},{"id":"https://openalex.org/keywords/visualization","display_name":"Visualization","score":0.6071962714195251},{"id":"https://openalex.org/keywords/data-visualization","display_name":"Data visualization","score":0.5329827666282654},{"id":"https://openalex.org/keywords/self-organizing-map","display_name":"Self-organizing map","score":0.4623597264289856},{"id":"https://openalex.org/keywords/topology","display_name":"Topology (electrical circuits)","score":0.4619500935077667},{"id":"https://openalex.org/keywords/network-topology","display_name":"Network topology","score":0.4265492558479309},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3913927674293518},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3401980400085449},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.3218880593776703},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.188134104013443}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.70603346824646},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.6557916402816772},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.6071962714195251},{"id":"https://openalex.org/C172367668","wikidata":"https://www.wikidata.org/wiki/Q6504956","display_name":"Data visualization","level":3,"score":0.5329827666282654},{"id":"https://openalex.org/C111168008","wikidata":"https://www.wikidata.org/wiki/Q1136838","display_name":"Self-organizing map","level":3,"score":0.4623597264289856},{"id":"https://openalex.org/C184720557","wikidata":"https://www.wikidata.org/wiki/Q7825049","display_name":"Topology (electrical circuits)","level":2,"score":0.4619500935077667},{"id":"https://openalex.org/C199845137","wikidata":"https://www.wikidata.org/wiki/Q145490","display_name":"Network topology","level":2,"score":0.4265492558479309},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3913927674293518},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3401980400085449},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3218880593776703},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.188134104013443},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","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}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tnn.2008.2005409","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnn.2008.2005409","pdf_url":null,"source":{"id":"https://openalex.org/S42080949","display_name":"IEEE Transactions on Neural Networks","issn_l":"1045-9227","issn":["1045-9227","1941-0093"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Neural Networks","raw_type":"journal-article"},{"id":"pmid:19228556","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/19228556","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on neural networks","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320323641","display_name":"Vedeck\u00e1 Grantov\u00e1 Agent\u00fara M\u0160VVa\u0160 SR a SAV","ror":"https://ror.org/044gwpv05"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":33,"referenced_works":["https://openalex.org/W17418856","https://openalex.org/W35088962","https://openalex.org/W1175789168","https://openalex.org/W1483072991","https://openalex.org/W1541565701","https://openalex.org/W1559971923","https://openalex.org/W1607000056","https://openalex.org/W1678889691","https://openalex.org/W1679913846","https://openalex.org/W1982766197","https://openalex.org/W2001141328","https://openalex.org/W2046372172","https://openalex.org/W2047870719","https://openalex.org/W2088709281","https://openalex.org/W2101938621","https://openalex.org/W2103442113","https://openalex.org/W2110802877","https://openalex.org/W2118943904","https://openalex.org/W2119364592","https://openalex.org/W2138754805","https://openalex.org/W2144544875","https://openalex.org/W2151616049","https://openalex.org/W2155734020","https://openalex.org/W2156771765","https://openalex.org/W2171975443","https://openalex.org/W2615090770","https://openalex.org/W2990138404","https://openalex.org/W4212774754","https://openalex.org/W4237222446","https://openalex.org/W6600691717","https://openalex.org/W6601392139","https://openalex.org/W6632502944","https://openalex.org/W6633283706"],"related_works":["https://openalex.org/W2013728941","https://openalex.org/W4225274103","https://openalex.org/W2579659702","https://openalex.org/W2154046714","https://openalex.org/W1965329638","https://openalex.org/W1574055964","https://openalex.org/W2923661510","https://openalex.org/W2189613078","https://openalex.org/W2586219255","https://openalex.org/W2547096368"],"abstract_inverted_index":{"The":[0],"self-organizing":[1],"map":[2],"(SOM)":[3],"is":[4,50,77,83],"a":[5,106,122,185],"powerful":[6],"method":[7],"for":[8,20],"visualization,":[9,137],"cluster":[10,42,112,173],"extraction,":[11],"and":[12,25,40,103,129,143,162,183],"data":[13,21,38,74,92,164,181],"mining.":[14],"It":[15],"has":[16],"been":[17],"used":[18],"successfully":[19],"of":[22,61,100,110,151,158,172],"high":[23],"dimensionality":[24],"complexity":[26],"where":[27],"traditional":[28],"methods":[29],"may":[30],"often":[31],"be":[32,95],"insufficient.":[33],"In":[34],"order":[35],"to":[36,51],"analyze":[37],"structure":[39,113],"capture":[41],"boundaries":[43],"from":[44],"the":[45,53,62,66,80,98,101,111,133,149,156,159,163,177],"SOM,":[46],"one":[47],"common":[48],"approach":[49],"represent":[52],"SOM's":[54,81],"knowledge":[55],"by":[56,65,70,120],"visualization":[57,99],"methods.":[58],"Different":[59],"aspects":[60],"information":[63],"learned":[64],"SOM":[67,102,160],"are":[68],"presented":[69],"existing":[71,115],"methods,":[72],"but":[73],"topology,":[75],"which":[76,154],"present":[78],"in":[79,88,169],"knowledge,":[82],"greatly":[84,167],"underutilized.":[85],"We":[86,117,175],"show":[87],"this":[89,119],"paper":[90],"that":[91],"topology":[93,145],"can":[94],"integrated":[96],"into":[97],"thereby":[104],"provide":[105],"more":[107],"elaborate":[108],"view":[109],"than":[114],"schemes.":[116],"achieve":[118],"introducing":[121],"weighted":[123],"Delaunay":[124],"triangulation":[125],"(a":[126],"connectivity":[127],"matrix)":[128],"draping":[130],"it":[131],"over":[132],"SOM.":[134],"This":[135],"new":[136],"CONNvis,":[138],"also":[139],"shows":[140],"both":[141],"forward":[142,152],"backward":[144],"violations":[146],"along":[147],"with":[148],"severity":[150],"ones,":[153],"indicate":[155],"quality":[157],"learning":[161],"complexity.":[165],"CONNvis":[166],"assists":[168],"detailed":[170],"identification":[171],"boundaries.":[174],"demonstrate":[176],"capabilities":[178],"on":[179,184],"synthetic":[180],"sets":[182],"real":[186],"8-D":[187],"remote":[188],"sensing":[189],"spectral":[190],"image.":[191]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":7},{"year":2021,"cited_by_count":7},{"year":2020,"cited_by_count":10},{"year":2019,"cited_by_count":11},{"year":2018,"cited_by_count":7},{"year":2017,"cited_by_count":12},{"year":2016,"cited_by_count":9},{"year":2015,"cited_by_count":10},{"year":2014,"cited_by_count":17},{"year":2013,"cited_by_count":16},{"year":2012,"cited_by_count":16}],"updated_date":"2026-01-13T01:12:25.745995","created_date":"2025-10-10T00:00:00"}
