Interactive Visual Analysis of Temporal Cluster Structures

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 suffi...

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Bibliographic Details
Published in:Computer graphics forum Vol. 30; no. 3; pp. 711 - 720
Main Authors: Turkay, C., Parulek, J., Reuter, N., Hauser, H.
Format: Journal Article
Language:English
Published: Oxford, UK Blackwell Publishing Ltd 01.06.2011
Subjects:
Cluster analysis
Clusters
Computer graphics
Computing Methodologies [I.3.m]: Computer Graphics
Evolution
Image processing systems
Information processing
Interactive
Lipids
Miscellaneous
Signatures
Studies
Temporal logic
Visual
ISSN:0167-7055, 1467-8659
Online Access:Get full text
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Summary: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.
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ISSN:0167-7055
1467-8659
DOI:10.1111/j.1467-8659.2011.01920.x