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Nested Intellectual Data Grouping and Clusterization for the Interactive Visual Explorer

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dc.contributor.authorGrigorieva, M.
dc.contributor.authorTitov, M.
dc.contributor.authorGalkin, T.
dc.contributor.authorMilman, I.
dc.date.accessioned2024-11-27T16:40:38Z
dc.date.available2024-11-27T16:40:38Z
dc.date.issued2020
dc.description.abstractThe Interactive Visual Explorer (InVEx) application is designed as a visual analytics tool for Big Data analysis. Visual analytics is an integral approach to data analysis, combining methods of intellectual data analysis with advanced interactive visualization. One of the main objectives of InVEx is to process large data samples by decreasing their level of detail (LoD). The proposed approach includes clustering as well as flexible grouping by different parameters, providing the exploration of data from the lowest to the highest level of details. The results of grouping and clusterization are visualized using interactive 3D scene and parallel coordinates, allowing the user to gain insight into data, to explore hidden correlations and trends of parameters.
dc.identifier.citationNested Intellectual Data Grouping and Clusterization for the Interactive Visual Explorer / Grigorieva, M [et al.] // MATHEMATICAL MODELING AND COMPUTATIONAL PHYSICS 2019 (MMCP 2019). - 2020. - 226. - 10.1051/epjconf/202022603011
dc.identifier.doi10.1051/epjconf/202022603011
dc.identifier.urihttps://www.doi.org/10.1051/epjconf/202022603011
dc.identifier.urihttp://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=Alerting&SrcApp=Alerting&DestApp=WOS_CPL&DestLinkType=FullRecord&UT=WOS:000618441600043
dc.identifier.urihttps://openrepository.mephi.ru/handle/123456789/23141
dc.relation.ispartofMATHEMATICAL MODELING AND COMPUTATIONAL PHYSICS 2019 (MMCP 2019)
dc.titleNested Intellectual Data Grouping and Clusterization for the Interactive Visual Explorer
dc.typeProceedings Paper
dspace.entity.typePublication
oaire.citation.volume226
relation.isOrgUnitOfPublication010157d0-1f75-46b2-ab5b-712e3424b4f5
relation.isOrgUnitOfPublication.latestForDiscovery010157d0-1f75-46b2-ab5b-712e3424b4f5
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