Interactive Visual Analysis of Temporal Cluster Structures

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dc.contributor.authorTurkay, Cagatayen_US
dc.contributor.authorParulek, J.en_US
dc.contributor.authorReuter, N.en_US
dc.contributor.authorHauser, Helwigen_US
dc.contributor.editorH. Hauser, H. Pfister, and J. J. van Wijken_US
dc.date.accessioned2014-02-21T20:23:22Z
dc.date.available2014-02-21T20:23:22Z
dc.date.issued2011en_US
dc.description.abstractCluster analysis is a useful method which reveals underlying structures and relations of items after grouping them into clusters. In the case of temporal data, clusters are defined over time intervals where they usually exhibit structural changes. Conventional cluster analysis does not provide sufficient methods to analyze these structural changes, which are, however, crucial in the interpretation and evaluation of temporal clusters. In this paper, we present two novel and interactive visualization techniques that enable users to explore and interpret the structural changes of temporal clusters. We introduce the temporal cluster view, which visualizes the structural quality of a number of temporal clusters, and temporal signatures, which represents the structure of clusters over time. We discuss how these views are utilized to understand the temporal evolution of clusters. We evaluate the proposed techniques in the cluster analysis of mixed lipid bilayers.en_US
dc.description.number3en_US
dc.description.seriesinformationComputer Graphics Forumen_US
dc.description.volume30en_US
dc.identifier.issn1467-8659en_US
dc.identifier.urihttps://doi.org/10.1111/j.1467-8659.2011.01920.xen_US
dc.publisherThe Eurographics Association and Blackwell Publishing Ltd.en_US
dc.subjectComputing Methodologies [I.3.m]en_US
dc.subjectComputer Graphicsen_US
dc.subjectMiscellaneousen_US
dc.titleInteractive Visual Analysis of Temporal Cluster Structuresen_US
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EuroVis11: Eurographics/ IEEE Symposium on Visualization