| Texto completo | |
| Autor(es): |
Número total de Autores: 2
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| Afiliação do(s) autor(es): | [1] Univ Groningen, Fac Sci & Engn, Nijenborgh 4, NL-9747 AG Groningen - Netherlands
Número total de Afiliações: 1
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| Tipo de documento: | Artigo Científico |
| Fonte: | INFORMATICS-BASEL; v. 6, n. 2 JUN 2019. |
| Citações Web of Science: | 2 |
| Resumo | |
RadViz is one of the few methods in Visual Analytics able to project high-dimensional data and explain formed structures in terms of data variables. However, RadViz methods have several limitations in terms of scalability in the number of variables, ambiguities created in the projection by the placement of variables along the circular design space, and ability to segregate similar instances into visual clusters. To address these limitations, we propose RadViz++, a set of techniques for interactive exploration of high-dimensional data using a RadViz-type metaphor. We demonstrate the added value of our method by comparing it with existing high-dimensional visualization methods, and also by analyzing a complex real-world dataset having over a hundred variables. (AU) | |
| Processo FAPESP: | 18/10652-9 - Explorando séries temporais com análises visuais |
| Beneficiário: | Lucas de Carvalho Pagliosa |
| Modalidade de apoio: | Bolsas no Exterior - Estágio de Pesquisa - Doutorado |