{"id":"https://openalex.org/W2753396776","doi":"https://doi.org/10.1109/tvcg.2017.2745258","title":"Towards a Systematic Combination of Dimension Reduction and Clustering in Visual Analytics","display_name":"Towards a Systematic Combination of Dimension Reduction and Clustering in Visual Analytics","publication_year":2017,"publication_date":"2017-08-29","ids":{"openalex":"https://openalex.org/W2753396776","doi":"https://doi.org/10.1109/tvcg.2017.2745258","mag":"2753396776","pmid":"https://pubmed.ncbi.nlm.nih.gov/28866581"},"language":"en","primary_location":{"id":"doi:10.1109/tvcg.2017.2745258","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tvcg.2017.2745258","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_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 Visualization and Computer Graphics","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/A5061311189","display_name":"John Wenskovitch","orcid":"https://orcid.org/0000-0002-0573-6442"},"institutions":[{"id":"https://openalex.org/I859038795","display_name":"Virginia Tech","ror":"https://ror.org/02smfhw86","country_code":"US","type":"education","lineage":["https://openalex.org/I859038795"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"John Wenskovitch","raw_affiliation_strings":["Virginia Tech Department of Computer Science"],"affiliations":[{"raw_affiliation_string":"Virginia Tech Department of Computer Science","institution_ids":["https://openalex.org/I859038795"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5004054174","display_name":"Ian Crandell","orcid":"https://orcid.org/0000-0001-9749-5297"},"institutions":[{"id":"https://openalex.org/I859038795","display_name":"Virginia Tech","ror":"https://ror.org/02smfhw86","country_code":"US","type":"education","lineage":["https://openalex.org/I859038795"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ian Crandell","raw_affiliation_strings":["Virginia Tech Department of Statistics"],"affiliations":[{"raw_affiliation_string":"Virginia Tech Department of Statistics","institution_ids":["https://openalex.org/I859038795"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5035052603","display_name":"Naren Ramakrishnan","orcid":"https://orcid.org/0000-0002-1821-9743"},"institutions":[{"id":"https://openalex.org/I859038795","display_name":"Virginia Tech","ror":"https://ror.org/02smfhw86","country_code":"US","type":"education","lineage":["https://openalex.org/I859038795"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Naren Ramakrishnan","raw_affiliation_strings":["Virginia Tech Department of Computer Science"],"affiliations":[{"raw_affiliation_string":"Virginia Tech Department of Computer Science","institution_ids":["https://openalex.org/I859038795"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5113555684","display_name":"Leanna House","orcid":null},"institutions":[{"id":"https://openalex.org/I859038795","display_name":"Virginia Tech","ror":"https://ror.org/02smfhw86","country_code":"US","type":"education","lineage":["https://openalex.org/I859038795"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Leanna House","raw_affiliation_strings":["Virginia Tech Department of Statistics"],"affiliations":[{"raw_affiliation_string":"Virginia Tech Department of Statistics","institution_ids":["https://openalex.org/I859038795"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5062711342","display_name":"Scotland Leman","orcid":"https://orcid.org/0000-0003-3138-8397"},"institutions":[{"id":"https://openalex.org/I859038795","display_name":"Virginia Tech","ror":"https://ror.org/02smfhw86","country_code":"US","type":"education","lineage":["https://openalex.org/I859038795"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Scotland Leman","raw_affiliation_strings":["Virginia Tech Department of Statistics"],"affiliations":[{"raw_affiliation_string":"Virginia Tech Department of Statistics","institution_ids":["https://openalex.org/I859038795"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5037675411","display_name":"Chris North","orcid":"https://orcid.org/0000-0002-8786-7103"},"institutions":[{"id":"https://openalex.org/I859038795","display_name":"Virginia Tech","ror":"https://ror.org/02smfhw86","country_code":"US","type":"education","lineage":["https://openalex.org/I859038795"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Chris North","raw_affiliation_strings":["Virginia Tech Department of Computer Science"],"affiliations":[{"raw_affiliation_string":"Virginia Tech Department of Computer Science","institution_ids":["https://openalex.org/I859038795"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5061311189"],"corresponding_institution_ids":["https://openalex.org/I859038795"],"apc_list":null,"apc_paid":null,"fwci":3.8229,"has_fulltext":false,"cited_by_count":97,"citation_normalized_percentile":{"value":0.96209145,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":100},"biblio":{"volume":"24","issue":"1","first_page":"131","last_page":"141"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10799","display_name":"Data Visualization and Analytics","score":0.9997000098228455,"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":0.9997000098228455,"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":0.9722999930381775,"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/T13398","display_name":"Data Analysis with R","score":0.965499997138977,"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":0.8093467354774475},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.8074010610580444},{"id":"https://openalex.org/keywords/visualization","display_name":"Visualization","score":0.7894096970558167},{"id":"https://openalex.org/keywords/visual-analytics","display_name":"Visual analytics","score":0.7580249905586243},{"id":"https://openalex.org/keywords/dimensionality-reduction","display_name":"Dimensionality reduction","score":0.6448458433151245},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5775967836380005},{"id":"https://openalex.org/keywords/dimension","display_name":"Dimension (graph theory)","score":0.5697911977767944},{"id":"https://openalex.org/keywords/data-visualization","display_name":"Data visualization","score":0.5659328103065491},{"id":"https://openalex.org/keywords/reduction","display_name":"Reduction (mathematics)","score":0.508131742477417},{"id":"https://openalex.org/keywords/projection","display_name":"Projection (relational algebra)","score":0.4957490861415863},{"id":"https://openalex.org/keywords/analytics","display_name":"Analytics","score":0.4538480341434479},{"id":"https://openalex.org/keywords/information-visualization","display_name":"Information visualization","score":0.4532738924026489},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.3447212874889374},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.33169177174568176},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.24805912375450134},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.09104469418525696}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8093467354774475},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.8074010610580444},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.7894096970558167},{"id":"https://openalex.org/C59732488","wikidata":"https://www.wikidata.org/wiki/Q2528440","display_name":"Visual analytics","level":3,"score":0.7580249905586243},{"id":"https://openalex.org/C70518039","wikidata":"https://www.wikidata.org/wiki/Q16000077","display_name":"Dimensionality reduction","level":2,"score":0.6448458433151245},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5775967836380005},{"id":"https://openalex.org/C33676613","wikidata":"https://www.wikidata.org/wiki/Q13415176","display_name":"Dimension (graph theory)","level":2,"score":0.5697911977767944},{"id":"https://openalex.org/C172367668","wikidata":"https://www.wikidata.org/wiki/Q6504956","display_name":"Data visualization","level":3,"score":0.5659328103065491},{"id":"https://openalex.org/C111335779","wikidata":"https://www.wikidata.org/wiki/Q3454686","display_name":"Reduction (mathematics)","level":2,"score":0.508131742477417},{"id":"https://openalex.org/C57493831","wikidata":"https://www.wikidata.org/wiki/Q3134666","display_name":"Projection (relational algebra)","level":2,"score":0.4957490861415863},{"id":"https://openalex.org/C79158427","wikidata":"https://www.wikidata.org/wiki/Q485396","display_name":"Analytics","level":2,"score":0.4538480341434479},{"id":"https://openalex.org/C185578843","wikidata":"https://www.wikidata.org/wiki/Q10609775","display_name":"Information visualization","level":3,"score":0.4532738924026489},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3447212874889374},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.33169177174568176},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.24805912375450134},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.09104469418525696},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","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}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tvcg.2017.2745258","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tvcg.2017.2745258","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_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 Visualization and Computer Graphics","raw_type":"journal-article"},{"id":"pmid:28866581","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/28866581","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 visualization and computer graphics","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1825241773","display_name":null,"funder_award_id":"IIS-1633363","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G6997731793","display_name":null,"funder_award_id":"IIS-1447416","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G8778743723","display_name":null,"funder_award_id":"DGE-1545362","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":108,"referenced_works":["https://openalex.org/W26643119","https://openalex.org/W147860157","https://openalex.org/W884650706","https://openalex.org/W1500473479","https://openalex.org/W1512287614","https://openalex.org/W1513214262","https://openalex.org/W1531439359","https://openalex.org/W1546650522","https://openalex.org/W1548802052","https://openalex.org/W1567056755","https://openalex.org/W1571401318","https://openalex.org/W1582500501","https://openalex.org/W1585610988","https://openalex.org/W1609061715","https://openalex.org/W1742512077","https://openalex.org/W1790954942","https://openalex.org/W1836550785","https://openalex.org/W1853598847","https://openalex.org/W1880262756","https://openalex.org/W1966382716","https://openalex.org/W1974767305","https://openalex.org/W1983362611","https://openalex.org/W1985574637","https://openalex.org/W1990293817","https://openalex.org/W1990368529","https://openalex.org/W1990517717","https://openalex.org/W1991676464","https://openalex.org/W1996881001","https://openalex.org/W1997952588","https://openalex.org/W2000215628","https://openalex.org/W2001141328","https://openalex.org/W2037133710","https://openalex.org/W2037894060","https://openalex.org/W2041420722","https://openalex.org/W2050469140","https://openalex.org/W2053562635","https://openalex.org/W2054274648","https://openalex.org/W2055794105","https://openalex.org/W2056930330","https://openalex.org/W2062052951","https://openalex.org/W2064210461","https://openalex.org/W2071066826","https://openalex.org/W2073800769","https://openalex.org/W2078455576","https://openalex.org/W2079361215","https://openalex.org/W2080298091","https://openalex.org/W2082612735","https://openalex.org/W2084134149","https://openalex.org/W2086320398","https://openalex.org/W2087382273","https://openalex.org/W2088003405","https://openalex.org/W2089621285","https://openalex.org/W2091288935","https://openalex.org/W2099242680","https://openalex.org/W2102323492","https://openalex.org/W2103849884","https://openalex.org/W2104371487","https://openalex.org/W2113076747","https://openalex.org/W2115242586","https://openalex.org/W2120887445","https://openalex.org/W2125027820","https://openalex.org/W2127498532","https://openalex.org/W2128031431","https://openalex.org/W2131548207","https://openalex.org/W2132429517","https://openalex.org/W2134089414","https://openalex.org/W2139850885","https://openalex.org/W2147055032","https://openalex.org/W2148585001","https://openalex.org/W2150593711","https://openalex.org/W2152621157","https://openalex.org/W2153233077","https://openalex.org/W2153312812","https://openalex.org/W2158378644","https://openalex.org/W2159205441","https://openalex.org/W2159262688","https://openalex.org/W2159504010","https://openalex.org/W2161078926","https://openalex.org/W2161133721","https://openalex.org/W2161381700","https://openalex.org/W2164223342","https://openalex.org/W2165533158","https://openalex.org/W2165874743","https://openalex.org/W2170531092","https://openalex.org/W2187089797","https://openalex.org/W2323909273","https://openalex.org/W2423553421","https://openalex.org/W2592653114","https://openalex.org/W2612590777","https://openalex.org/W2619824706","https://openalex.org/W2798543290","https://openalex.org/W2975800720","https://openalex.org/W2998216295","https://openalex.org/W3017143921","https://openalex.org/W3026302707","https://openalex.org/W3144904622","https://openalex.org/W4237375617","https://openalex.org/W4244023744","https://openalex.org/W4250367162","https://openalex.org/W4285719527","https://openalex.org/W6606145560","https://openalex.org/W6629869567","https://openalex.org/W6635035540","https://openalex.org/W6679264742","https://openalex.org/W6679849079","https://openalex.org/W6680905637","https://openalex.org/W6684578312","https://openalex.org/W7066667914"],"related_works":["https://openalex.org/W2362367986","https://openalex.org/W2186032312","https://openalex.org/W2020974618","https://openalex.org/W2151177154","https://openalex.org/W2148525144","https://openalex.org/W4295118869","https://openalex.org/W2013467770","https://openalex.org/W4246764483","https://openalex.org/W2138584026","https://openalex.org/W2156440763"],"abstract_inverted_index":{"Dimension":[0],"reduction":[1,84,124],"algorithms":[2,5,17,42,87],"and":[3,29,63,85,106,110,125],"clustering":[4,86,126],"are":[6,55,104],"both":[7,144],"frequently":[8],"used":[9,36],"techniques":[10],"in":[11,20,32,64,89,101,135],"visual":[12],"analytics.":[13],"Both":[14],"families":[15,145],"of":[16,27,71,75,96,121,143,146],"assist":[18],"analysts":[19],"performing":[21],"related":[22],"tasks":[23],"regarding":[24],"the":[25,47,94,99,113,132],"similarity":[26],"observations":[28],"finding":[30],"groups":[31],"datasets.":[33],"Though":[34],"initially":[35],"independently,":[37],"recent":[38],"works":[39],"have":[40],"incorporated":[41],"from":[43],"each":[44,97],"family":[45],"into":[46,127],"same":[48],"visualization":[49,91,129,138],"systems.":[50],"However,":[51],"these":[52],"algorithmic":[53],"combinations":[54],"often":[56],"ad":[57],"hoc":[58],"or":[59],"disconnected,":[60],"working":[61],"independently":[62],"parallel":[65],"rather":[66],"than":[67],"integrating":[68],"some":[69],"degree":[70],"interdependence.":[72],"A":[73],"number":[74],"design":[76],"decisions":[77],"must":[78],"be":[79],"addressed":[80],"when":[81],"employing":[82],"dimension":[83,123],"concurrently":[88],"a":[90,128,137],"system,":[92,130],"including":[93],"selection":[95],"algorithm,":[98],"order":[100],"which":[102],"they":[103],"processed,":[105],"how":[107],"to":[108],"present":[109],"interact":[111],"with":[112],"resulting":[114],"projection.":[115],"This":[116],"paper":[117],"contributes":[118],"an":[119],"overview":[120],"combining":[122],"discussing":[131],"challenges":[133],"inherent":[134],"developing":[136],"system":[139],"that":[140],"makes":[141],"use":[142],"algorithms.":[147]},"counts_by_year":[{"year":2025,"cited_by_count":9},{"year":2024,"cited_by_count":10},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":16},{"year":2021,"cited_by_count":15},{"year":2020,"cited_by_count":20},{"year":2019,"cited_by_count":12},{"year":2018,"cited_by_count":10}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}