RadViz++: Improvements on Radial-Based Visualizations

Lucas de Carvalho Pagliosa*, Alexandru C. Telea

*Corresponding author voor dit werk

Onderzoeksoutput: ArticleAcademicpeer review

14 Citaten (Scopus)
165 Downloads (Pure)

Samenvatting

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.

Originele taal-2English
Artikelnummer16
Aantal pagina's23
TijdschriftInformatics-Basel
Volume6
Nummer van het tijdschrift2
DOI's
StatusPublished - jun.-2019

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