{"id":"https://openalex.org/W2919948040","doi":"https://doi.org/10.1145/3308557.3308718","title":"Simultaneous interaction with dimension reduction and clustering projections","display_name":"Simultaneous interaction with dimension reduction and clustering projections","publication_year":2019,"publication_date":"2019-02-28","ids":{"openalex":"https://openalex.org/W2919948040","doi":"https://doi.org/10.1145/3308557.3308718","mag":"2919948040"},"language":"en","primary_location":{"id":"doi:10.1145/3308557.3308718","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3308557.3308718","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3308557.3308718","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Companion Proceedings of the 24th International Conference on Intelligent User Interfaces","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3308557.3308718","any_repository_has_fulltext":null},"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"],"affiliations":[{"raw_affiliation_string":"Virginia Tech","institution_ids":["https://openalex.org/I859038795"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5056817428","display_name":"Michelle Dowling","orcid":"https://orcid.org/0000-0002-2572-1133"},"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":"Michelle Dowling","raw_affiliation_strings":["Virginia Tech"],"affiliations":[{"raw_affiliation_string":"Virginia Tech","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"],"affiliations":[{"raw_affiliation_string":"Virginia Tech","institution_ids":["https://openalex.org/I859038795"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5061311189"],"corresponding_institution_ids":["https://openalex.org/I859038795"],"apc_list":null,"apc_paid":null,"fwci":0.1445,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":{"value":0.55314763,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"89","last_page":"90"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10637","display_name":"Advanced Clustering Algorithms Research","score":0.9786999821662903,"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/T10637","display_name":"Advanced Clustering Algorithms Research","score":0.9786999821662903,"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/T10719","display_name":"3D Shape Modeling and Analysis","score":0.9577999711036682,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10588","display_name":"Mathematical Dynamics and Fractals","score":0.9570000171661377,"subfield":{"id":"https://openalex.org/subfields/2610","display_name":"Mathematical Physics"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/reduction","display_name":"Reduction (mathematics)","score":0.7048819661140442},{"id":"https://openalex.org/keywords/dimensionality-reduction","display_name":"Dimensionality reduction","score":0.6761096715927124},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.6656228303909302},{"id":"https://openalex.org/keywords/dimension","display_name":"Dimension (graph theory)","score":0.6584659814834595},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5412927865982056},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3657033443450928},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.34806883335113525},{"id":"https://openalex.org/keywords/combinatorics","display_name":"Combinatorics","score":0.13135036826133728},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.0531197190284729}],"concepts":[{"id":"https://openalex.org/C111335779","wikidata":"https://www.wikidata.org/wiki/Q3454686","display_name":"Reduction (mathematics)","level":2,"score":0.7048819661140442},{"id":"https://openalex.org/C70518039","wikidata":"https://www.wikidata.org/wiki/Q16000077","display_name":"Dimensionality reduction","level":2,"score":0.6761096715927124},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.6656228303909302},{"id":"https://openalex.org/C33676613","wikidata":"https://www.wikidata.org/wiki/Q13415176","display_name":"Dimension (graph theory)","level":2,"score":0.6584659814834595},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5412927865982056},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3657033443450928},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.34806883335113525},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.13135036826133728},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0531197190284729}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3308557.3308718","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3308557.3308718","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3308557.3308718","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Companion Proceedings of the 24th International Conference on Intelligent User Interfaces","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3308557.3308718","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3308557.3308718","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3308557.3308718","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Companion Proceedings of the 24th International Conference on Intelligent User Interfaces","raw_type":"proceedings-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities","score":0.46000000834465027}],"awards":[{"id":"https://openalex.org/G451292380","display_name":null,"funder_award_id":"2018-18030100003","funder_id":"https://openalex.org/F4320333051","funder_display_name":"Intelligence Advanced Research Projects Activity"},{"id":"https://openalex.org/G6560157988","display_name":null,"funder_award_id":"447416","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/G7116502686","display_name":"BIGDATA: F: DKA: Usable Multiple Scale Big Data Analytics through Interactive Visualization","funder_award_id":"1447416","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"},{"id":"https://openalex.org/F4320333051","display_name":"Intelligence Advanced Research Projects Activity","ror":"https://ror.org/01v3fsc55"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2919948040.pdf","grobid_xml":"https://content.openalex.org/works/W2919948040.grobid-xml"},"referenced_works_count":12,"referenced_works":["https://openalex.org/W1990293817","https://openalex.org/W1993503217","https://openalex.org/W2041420722","https://openalex.org/W2050469140","https://openalex.org/W2062052951","https://openalex.org/W2162825485","https://openalex.org/W2423553421","https://openalex.org/W2612590777","https://openalex.org/W2753396776","https://openalex.org/W2888244365","https://openalex.org/W4247261270","https://openalex.org/W4360596602"],"related_works":["https://openalex.org/W3176621072","https://openalex.org/W2804364458","https://openalex.org/W4298130764","https://openalex.org/W2132641928","https://openalex.org/W2995475466","https://openalex.org/W2090259340","https://openalex.org/W4310225030","https://openalex.org/W2356785732","https://openalex.org/W2083665254","https://openalex.org/W2393816671"],"abstract_inverted_index":{"Direct":[0],"manipulation":[1],"interactions":[2,13],"on":[3],"projections":[4],"are":[5],"often":[6],"incorporated":[7],"in":[8],"visual":[9],"analytics":[10],"applications.":[11],"These":[12],"enable":[14],"analysts":[15],"to":[16,19,28,78],"provide":[17],"feedback":[18],"the":[20,25,31,35,39,51,69],"system,":[21],"demonstrating":[22],"relationships":[23],"that":[24],"analyst":[26,40,46],"wishes":[27],"find":[29],"within":[30],"projection.":[32],"However,":[33],"determining":[34],"precise":[36],"intent":[37],"of":[38,57,72],"is":[41],"a":[42,49,55],"challenge;":[43],"when":[44],"an":[45],"interacts":[47],"with":[48],"projection,":[50],"system":[52],"could":[53],"infer":[54],"variety":[56],"possible":[58],"interpretations.":[59],"In":[60],"this":[61,80],"work,":[62],"we":[63],"explore":[64],"interaction":[65],"design":[66],"considerations":[67],"for":[68],"simultaneous":[70],"use":[71],"dimension":[73],"reduction":[74],"and":[75],"clustering":[76],"algorithms":[77],"address":[79],"challenge.":[81]},"counts_by_year":[{"year":2021,"cited_by_count":1}],"updated_date":"2026-04-10T15:06:20.359241","created_date":"2025-10-10T00:00:00"}
