{"id":"https://openalex.org/W2752985888","doi":"https://doi.org/10.1109/tvcg.2017.2744805","title":"SOMFlow: Guided Exploratory Cluster Analysis with Self-Organizing Maps and Analytic Provenance","display_name":"SOMFlow: Guided Exploratory Cluster Analysis with Self-Organizing Maps and Analytic Provenance","publication_year":2017,"publication_date":"2017-08-29","ids":{"openalex":"https://openalex.org/W2752985888","doi":"https://doi.org/10.1109/tvcg.2017.2744805","mag":"2752985888","pmid":"https://pubmed.ncbi.nlm.nih.gov/28866559"},"language":"en","primary_location":{"is_oa":false,"landing_page_url":"https://doi.org/10.1109/tvcg.2017.2744805","pdf_url":null,"source":{"id":"https://openalex.org/S84775595","display_name":"IEEE Transactions on Visualization and Computer Graphics","issn_l":"1077-2626","issn":["1077-2626","1941-0506","2160-9306"],"is_oa":false,"is_in_doaj":false,"is_indexed_in_scopus":true,"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":null,"is_accepted":false,"is_published":false},"type":"article","type_crossref":"journal-article","indexed_in":["crossref","pubmed"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://kops.uni-konstanz.de/bitstreams/a00f2586-ebeb-4656-95fc-fcca35065b9f/download","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5038705854","display_name":"Dominik Sacha","orcid":null},"institutions":[{"id":"https://openalex.org/I189712700","display_name":"University of Konstanz","ror":"https://ror.org/0546hnb39","country_code":"DE","type":"funder","lineage":["https://openalex.org/I189712700"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Dominik Sacha","raw_affiliation_strings":["University of Konstanz, Germany"],"affiliations":[{"raw_affiliation_string":"University of Konstanz, Germany","institution_ids":["https://openalex.org/I189712700"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5026296265","display_name":"Matthias Kraus","orcid":"https://orcid.org/0000-0001-5398-3109"},"institutions":[{"id":"https://openalex.org/I189712700","display_name":"University of Konstanz","ror":"https://ror.org/0546hnb39","country_code":"DE","type":"funder","lineage":["https://openalex.org/I189712700"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Matthias Kraus","raw_affiliation_strings":["University of Konstanz, Germany"],"affiliations":[{"raw_affiliation_string":"University of Konstanz, Germany","institution_ids":["https://openalex.org/I189712700"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5078086722","display_name":"J\u00fcrgen Bernard","orcid":"https://orcid.org/0000-0001-8741-9709"},"institutions":[{"id":"https://openalex.org/I31512782","display_name":"Technical University of Darmstadt","ror":"https://ror.org/05n911h24","country_code":"DE","type":"funder","lineage":["https://openalex.org/I31512782"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Jurgen Bernard","raw_affiliation_strings":["TU Darmstadt, Germany"],"affiliations":[{"raw_affiliation_string":"TU Darmstadt, Germany","institution_ids":["https://openalex.org/I31512782"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5040794392","display_name":"Michael Behrisch","orcid":"https://orcid.org/0000-0002-1102-103X"},"institutions":[{"id":"https://openalex.org/I189712700","display_name":"University of Konstanz","ror":"https://ror.org/0546hnb39","country_code":"DE","type":"funder","lineage":["https://openalex.org/I189712700"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Michael Behrisch","raw_affiliation_strings":["University of Konstanz, Germany"],"affiliations":[{"raw_affiliation_string":"University of Konstanz, Germany","institution_ids":["https://openalex.org/I189712700"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5016219620","display_name":"Tobias Schreck","orcid":"https://orcid.org/0000-0003-0778-8665"},"institutions":[{"id":"https://openalex.org/I4092182","display_name":"Graz University of Technology","ror":"https://ror.org/00d7xrm67","country_code":"AT","type":"funder","lineage":["https://openalex.org/I4092182"]}],"countries":["AT"],"is_corresponding":false,"raw_author_name":"Tobias Schreck","raw_affiliation_strings":["Graz University of Technology"],"affiliations":[{"raw_affiliation_string":"Graz University of Technology","institution_ids":["https://openalex.org/I4092182"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102985946","display_name":"Yuki M. Asano","orcid":"https://orcid.org/0000-0002-8533-4020"},"institutions":[{"id":"https://openalex.org/I8087733","display_name":"University of T\u00fcbingen","ror":"https://ror.org/03a1kwz48","country_code":"DE","type":"funder","lineage":["https://openalex.org/I8087733"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Yuki Asano","raw_affiliation_strings":["University of T\u00fcbingen"],"affiliations":[{"raw_affiliation_string":"University of T\u00fcbingen","institution_ids":["https://openalex.org/I8087733"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5073919282","display_name":"Daniel A. Keim","orcid":"https://orcid.org/0000-0001-7966-9740"},"institutions":[{"id":"https://openalex.org/I189712700","display_name":"University of Konstanz","ror":"https://ror.org/0546hnb39","country_code":"DE","type":"funder","lineage":["https://openalex.org/I189712700"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Daniel A. Keim","raw_affiliation_strings":["University of Konstanz, Germany"],"affiliations":[{"raw_affiliation_string":"University of Konstanz, Germany","institution_ids":["https://openalex.org/I189712700"]}]}],"institution_assertions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":4.715,"has_fulltext":true,"fulltext_origin":"pdf","cited_by_count":76,"citation_normalized_percentile":{"value":0.839875,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":97,"max":98},"biblio":{"volume":"24","issue":"1","first_page":"120","last_page":"130"},"is_retracted":false,"is_paratext":false,"primary_topic":{"id":"https://openalex.org/T10799","display_name":"Data Visualization and Analytics","score":0.9997,"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"}},"topics":[{"id":"https://openalex.org/T10799","display_name":"Data Visualization and Analytics","score":0.9997,"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/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9871,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T10895","display_name":"Species Distribution and Climate Change","score":0.9799,"subfield":{"id":"https://openalex.org/subfields/2302","display_name":"Ecological Modeling"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/leverage","display_name":"Leverage (statistics)","score":0.59575486},{"id":"https://openalex.org/keywords/exploratory-data-analysis","display_name":"Exploratory data analysis","score":0.51469404},{"id":"https://openalex.org/keywords/rand-index","display_name":"Rand index","score":0.44343802}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.856069},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.70726},{"id":"https://openalex.org/C59732488","wikidata":"https://www.wikidata.org/wiki/Q2528440","display_name":"Visual analytics","level":3,"score":0.6717852},{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.59575486},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5338285},{"id":"https://openalex.org/C172367668","wikidata":"https://www.wikidata.org/wiki/Q6504956","display_name":"Data visualization","level":3,"score":0.5248416},{"id":"https://openalex.org/C120894424","wikidata":"https://www.wikidata.org/wiki/Q1322871","display_name":"Exploratory data analysis","level":2,"score":0.51469404},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.48508823},{"id":"https://openalex.org/C34736171","wikidata":"https://www.wikidata.org/wiki/Q918333","display_name":"Preprocessor","level":2,"score":0.4708205},{"id":"https://openalex.org/C79158427","wikidata":"https://www.wikidata.org/wiki/Q485396","display_name":"Analytics","level":2,"score":0.4554221},{"id":"https://openalex.org/C111442797","wikidata":"https://www.wikidata.org/wiki/Q7291446","display_name":"Rand index","level":3,"score":0.44343802},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.43210647},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.36152762},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.33468586},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.32069498},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.30970043}],"mesh":[],"locations_count":3,"locations":[{"is_oa":false,"landing_page_url":"https://doi.org/10.1109/tvcg.2017.2744805","pdf_url":null,"source":{"id":"https://openalex.org/S84775595","display_name":"IEEE Transactions on Visualization and Computer Graphics","issn_l":"1077-2626","issn":["1077-2626","1941-0506","2160-9306"],"is_oa":false,"is_in_doaj":false,"is_indexed_in_scopus":true,"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":null,"is_accepted":false,"is_published":false},{"is_oa":true,"landing_page_url":"http://nbn-resolving.de/urn:nbn:de:bsz:352-2-1bb9sgn9mm19s7","pdf_url":"https://kops.uni-konstanz.de/bitstreams/a00f2586-ebeb-4656-95fc-fcca35065b9f/download","source":{"id":"https://openalex.org/S4306401487","display_name":"KOPS (University of Konstanz)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_indexed_in_scopus":false,"is_core":false,"host_organization":"https://openalex.org/I189712700","host_organization_name":"University of Konstanz","host_organization_lineage":["https://openalex.org/I189712700"],"host_organization_lineage_names":["University of Konstanz"],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false},{"is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/28866559","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_indexed_in_scopus":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":["National Institutes of Health"],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false}],"best_oa_location":{"is_oa":true,"landing_page_url":"http://nbn-resolving.de/urn:nbn:de:bsz:352-2-1bb9sgn9mm19s7","pdf_url":"https://kops.uni-konstanz.de/bitstreams/a00f2586-ebeb-4656-95fc-fcca35065b9f/download","source":{"id":"https://openalex.org/S4306401487","display_name":"KOPS (University of Konstanz)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_indexed_in_scopus":false,"is_core":false,"host_organization":"https://openalex.org/I189712700","host_organization_name":"University of Konstanz","host_organization_lineage":["https://openalex.org/I189712700"],"host_organization_lineage_names":["University of Konstanz"],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false},"sustainable_development_goals":[{"score":0.68,"display_name":"Peace, justice, and strong institutions","id":"https://metadata.un.org/sdg/16"}],"grants":[{"funder":"https://openalex.org/F4320320879","funder_display_name":"Deutsche Forschungsgemeinschaft","award_id":null}],"datasets":[],"versions":[],"referenced_works_count":60,"referenced_works":["https://openalex.org/W1506965148","https://openalex.org/W1541565701","https://openalex.org/W1545214528","https://openalex.org/W1576209423","https://openalex.org/W1656697623","https://openalex.org/W1924369998","https://openalex.org/W1965516866","https://openalex.org/W1967517602","https://openalex.org/W1985342513","https://openalex.org/W1987971958","https://openalex.org/W2001042234","https://openalex.org/W2005948381","https://openalex.org/W2031194666","https://openalex.org/W2033074184","https://openalex.org/W2033280468","https://openalex.org/W2036813961","https://openalex.org/W2039455098","https://openalex.org/W2043793719","https://openalex.org/W2070967917","https://openalex.org/W2079810998","https://openalex.org/W2080417696","https://openalex.org/W2083581263","https://openalex.org/W2088709281","https://openalex.org/W2090687959","https://openalex.org/W2108447256","https://openalex.org/W2111347866","https://openalex.org/W2112363800","https://openalex.org/W2114033855","https://openalex.org/W2119452648","https://openalex.org/W2122473047","https://openalex.org/W2125775272","https://openalex.org/W2128377478","https://openalex.org/W2130438374","https://openalex.org/W2140190241","https://openalex.org/W2141569821","https://openalex.org/W2157379557","https://openalex.org/W2157530472","https://openalex.org/W2161660422","https://openalex.org/W2162870748","https://openalex.org/W2164223342","https://openalex.org/W2189401668","https://openalex.org/W2346476940","https://openalex.org/W2486491219","https://openalex.org/W2488113179","https://openalex.org/W2517066960","https://openalex.org/W2520106474","https://openalex.org/W2527276559","https://openalex.org/W2583170832","https://openalex.org/W2583408446","https://openalex.org/W259338706","https://openalex.org/W2615090770","https://openalex.org/W2795889579","https://openalex.org/W2902396486","https://openalex.org/W2950879328","https://openalex.org/W2989594766","https://openalex.org/W3151130557","https://openalex.org/W37400329","https://openalex.org/W4233639664","https://openalex.org/W4245176872","https://openalex.org/W73593153"],"related_works":["https://openalex.org/W4378086562","https://openalex.org/W3182718252","https://openalex.org/W3149127250","https://openalex.org/W2158984754","https://openalex.org/W2143428259","https://openalex.org/W2112083262","https://openalex.org/W2081749267","https://openalex.org/W2080934634","https://openalex.org/W2056189874","https://openalex.org/W2013467770"],"abstract_inverted_index":{"Clustering":[0],"is":[1,123,182],"a":[2,65,97,127,169],"core":[3],"building":[4],"block":[5],"for":[6,71,184],"data":[7,59,159,186],"analysis,":[8,187],"aiming":[9],"to":[10,42,56,85,100,113,131,137,147,177],"extract":[11],"otherwise":[12],"hidden":[13],"structures":[14],"and":[15,30,61,112,136,144,158],"relations":[16],"from":[17],"raw":[18],"datasets,":[19],"such":[20],"as":[21,194,196],"particular":[22],"groups":[23],"that":[24,80,179],"can":[25],"be":[26],"effectively":[27],"related,":[28],"compared,":[29],"interpreted.":[31],"A":[32],"plethora":[33],"of":[34,53,120,154,191],"visual-interactive":[35],"cluster":[36,73,134],"analysis":[37],"techniques":[38],"has":[39],"been":[40],"proposed":[41],"date,":[43],"however,":[44],"arriving":[45],"at":[46],"useful":[47,155],"clusterings":[48],"often":[49],"requires":[50],"several":[51],"rounds":[52],"user":[54],"interactions":[55],"fine-tune":[57],"the":[58,95,105,110,149,152,180,197],"preprocessing":[60],"algorithms.":[62],"We":[63,140,161],"present":[64],"multi-stage":[66],"Visual":[67],"Analytics":[68],"(VA)":[69],"approach":[70,181],"iterative":[72],"refinement":[74],"together":[75,167],"with":[76,168],"an":[77],"implementation":[78],"(SOMFlow)":[79],"uses":[81],"Self-Organizing":[82],"Maps":[83],"(SOM)":[84],"analyze":[86,101],"time":[87],"series":[88],"data.":[89],"It":[90],"supports":[91],"exploration":[92],"by":[93],"offering":[94],"analyst":[96,150],"visual":[98],"platform":[99],"intermediate":[102],"results,":[103],"adapt":[104],"underlying":[106],"computations,":[107],"iteratively":[108],"partition":[109],"data,":[111],"reflect":[114],"previous":[115,121],"analytical":[116],"activities.":[117],"The":[118],"history":[119],"decisions":[122],"explicitly":[124],"visualized":[125],"within":[126],"flow":[128],"graph,":[129],"allowing":[130],"compare":[132],"earlier":[133],"refinements":[135],"explore":[138],"relations.":[139],"further":[141],"leverage":[142],"quality":[143],"interestingness":[145],"measures":[146],"guide":[148],"in":[151,173],"discovery":[153],"patterns,":[156],"relations,":[157],"partitions.":[160],"conducted":[162],"two":[163],"pair":[164],"analytics":[165],"experiments":[166],"subject":[170],"matter":[171],"expert":[172],"speech":[174],"intonation":[175],"research":[176],"demonstrate":[178],"effective":[183],"interactive":[185,198],"supporting":[188],"enhanced":[189],"understanding":[190],"clustering":[192],"results":[193],"well":[195],"process":[199],"itself.":[200]},"abstract_inverted_index_v3":null,"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W2752985888","counts_by_year":[{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":7},{"year":2022,"cited_by_count":13},{"year":2021,"cited_by_count":14},{"year":2020,"cited_by_count":17},{"year":2019,"cited_by_count":14},{"year":2018,"cited_by_count":8}],"updated_date":"2025-04-17T05:50:55.579906","created_date":"2017-09-15"}