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(Reference retrieved automatically from Web of Science through information on FAPESP grant and its corresponding number as mentioned in the publication by the authors.)

RadViz++: Improvements on Radial-Based Visualizations

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Pagliosa, Lucas de Carvalho [1] ; Telea, Alexandru C. [1]
Total Authors: 2
[1] Univ Groningen, Fac Sci & Engn, Nijenborgh 4, NL-9747 AG Groningen - Netherlands
Total Affiliations: 1
Document type: Journal article
Source: INFORMATICS-BASEL; v. 6, n. 2 JUN 2019.
Web of Science Citations: 2

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)

FAPESP's process: 18/10652-9 - Exploring time series with visualization analysis
Grantee:Lucas de Carvalho Pagliosa
Support Opportunities: Scholarships abroad - Research Internship - Doctorate