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Interactive dimensionality reduction of large datasets using interpolation

dc.contributor.authorDíaz Blanco, Ignacio 
dc.contributor.authorPérez López, Daniel 
dc.contributor.authorCuadrado Vega, Abel Alberto 
dc.contributor.authorGarcía Pérez, Diego 
dc.contributor.authorDomínguez González, Manuel
dc.date.accessioned2019-11-14T10:22:00Z
dc.date.available2019-11-14T10:22:00Z
dc.date.issued2018
dc.identifier.isbn9782875870476
dc.identifier.urihttps://www.elen.ucl.ac.be/Proceedings/esann/esannpdf/es2018-47.pdf
dc.identifier.urihttp://hdl.handle.net/10651/53152
dc.descriptionESANN European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (26th. 2018. Bruges, Belgium)
dc.description.sponsorshipThe authors would like to thank financial support from the Spanish Ministry of Economy (MINECO)and FEDER funds from the EU under grants DPI2015-69891-C2-1/2-R and from the Principado de Asturias government through the predoctoral grant “Severo Ochoa”.
dc.format.extentp. 117-122
dc.language.isoeng
dc.relation.ispartofESANN 2018 proceedings, European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning.
dc.rights©,
dc.sourceScopus
dc.source.urihttps://www2.scopus.com/inward/record.uri?eid=2-s2.0-85069527359&partnerID=40&md5=43226db52ef6912ad662a51ac38f7b53
dc.titleInteractive dimensionality reduction of large datasets using interpolation
dc.typeconference outputspa
dc.relation.projectIDMINECO/FEDER/DPI2015-69891-C2-1/2-R


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