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Integrating Cluster Formation and Cluster Evaluation in Interactive Visual Analysis

Cagatay Turkay, Julius Parulek, Nathalie Reuter, Helwig Hauser

INPROCEEDINGS, Proc. Spring Conference on Computer Graphics (SCCG 2011) -- second best paper, 2011

Abstract

Cluster analysis is a popular method for data investigation where data items are structured into groups called clusters. This analysis involves two sequential steps, namely cluster formation and cluster evaluation. In this paper, we propose the tight integration of cluster formation and cluster evaluation in interactive visual analysis in order to overcome the challenges that relate to the black-box nature of clustering algorithms. We present our conceptual framework in the form of an interactive visual environment. In this realization of our framework, we build upon general concepts such as cluster comparison, clustering tendency, cluster stability and cluster coherence. Additionally, we showcase our framework on the cluster analysis of mixed lipid bilayers.

Published

Proc. Spring Conference on Computer Graphics (SCCG 2011) -- second best paper

  • Pages: ??–??
  • Location: Budmerice, Slovakia

Media

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BibTeX

@inproceedings{turkay11cluster,
  author = {Cagatay Turkay and Julius Parulek and Nathalie Reuter and Helwig Hauser},
  title = {Integrating Cluster Formation and Cluster Evaluation in 
Interactive Visual Analysis},
  booktitle = {Proc. Spring Conference on Computer Graphics (SCCG 2011) -- second best paper},
  pages = {??--??},
  year = {2011},
  abstract = {Cluster analysis is a popular method for data investigation where
data items are structured into groups called clusters. This analysis
involves two sequential steps, namely cluster formation and cluster
evaluation. In this paper, we propose the tight integration of cluster
formation and cluster evaluation in interactive visual analysis in order
to overcome the challenges that relate to the black-box nature of
clustering algorithms. We present our conceptual framework in the
form of an interactive visual environment. In this realization of our
framework, we build upon general concepts such as cluster comparison,
clustering tendency, cluster stability and cluster coherence.
Additionally, we showcase our framework on the cluster analysis of
mixed lipid bilayers.},
  location = {Budmerice, Slovakia}, 



}






 Last Modified: Jean-Paul Balabanian, 2014-06-18