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Cluster 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.
|Additional Information:||This is the peer reviewed version of the following article: Turkay, Cagatay, et al. "Interactive visual analysis of temporal cluster structures." Computer Graphics Forum. Vol. 30. No. 3. Blackwell Publishing Ltd, 2011., which has been published in final form at 10.1111/j.1467-8659.2011.01920.x. This article may be used for non-commercial purposes in accordance With Wiley Terms and Conditions for self-archiving.|
|Uncontrolled Keywords:||Computing Methodologies, Computer Graphics|
|Subjects:||Q Science > QA Mathematics > QA75 Electronic computers. Computer science|
|Divisions:||School of Informatics > Department of Computing|
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