Interactive Visual Analysis of Temporal Cluster Structures
Abstract
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 proposedtechniques in the cluster analysis of mixed lipid bilayers.
C. Turkay, J. Parulek, N. Reuter, and H. Hauser, "Interactive Visual Analysis of Temporal Cluster Structures," Computer Graphics Forum, vol. 30, iss. 3, p. 711–720, 2011.
[BibTeX]
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 proposedtechniques in the cluster analysis of mixed lipid bilayers.
@ARTICLE {turkay11temporalCluster,
author = "Cagatay Turkay and Julius Parulek and Nathalie Reuter and Helwig Hauser",
title = "Interactive Visual Analysis of Temporal Cluster Structures",
journal = "Computer Graphics Forum",
year = "2011",
volume = "30",
number = "3",
pages = "711--720",
abstract = "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 proposedtechniques in the cluster analysis of mixed lipid bilayers.",
images = "images/turkay11temporal1.jpg, images/turkay11temporal2.jpg, images/turkay11temporal3.jpg",
thumbnails = "images/turkay11temporal1_thumb.jpg, images/turkay11temporal2_thumb.jpg, images/turkay11temporal3_thumb.jpg",
url = "//dx.doi.org/10.1111/j.1467-8659.2011.01920.x",
event = "EuroVis 2011",
location = "Bergen, Norway"
}