Visual Representation of Multiple Associations in Data using Constrained Graph Layout
dc.contributor.author | Xu, Weijia | en_US |
dc.contributor.author | Sreevalsan-Nair, Jaya | en_US |
dc.contributor.editor | Wen Tang and John Collomosse | en_US |
dc.date.accessioned | 2014-01-31T20:06:41Z | |
dc.date.available | 2014-01-31T20:06:41Z | |
dc.date.issued | 2009 | en_US |
dc.description.abstract | This paper presents a new approach for simultaneously visualizing multiple exclusive associations, defined on the same dataset, using constrained graph layout. We work with two different associations at a time, which can be represented as a binary graph operation. Given an initial graph layout which represents an association of the data, another set of constraints is applied to the graph to represent a second association on the same dataset to obtain the final layout. Our motivation is to preserve some features of the first layout as well as to achieve a simultaneous view of both the associations. We use this approach generically for three applications: for visualization of data with geometric and categorical constraints, respectively. We further propose to extend it to multiple associations, by using the binary operation multiple times. | en_US |
dc.description.seriesinformation | Theory and Practice of Computer Graphics | en_US |
dc.identifier.isbn | 978-3-905673-71-5 | en_US |
dc.identifier.uri | https://doi.org/10.2312/LocalChapterEvents/TPCG/TPCG09/065-068 | en_US |
dc.publisher | The Eurographics Association | en_US |
dc.title | Visual Representation of Multiple Associations in Data using Constrained Graph Layout | en_US |
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