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Measuring visual complexity of cluster-based visualizations

Abstract:

Handling visual complexity is a challenging problem in visualization owing to the subjectiveness of its definition and the difficulty in devising generalizable quantitative metrics. In this paper we address this challenge by measuring the visual complexity of two common forms of cluster-based visualizations: scatter plots and parallel coordinatess. We conceptualize visual complexity as a form of visual uncertainty, which is a measure of the degree of difficulty for humans to interpret a visua...

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Publication status:
Submitted
Peer review status:
Under review

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Institution:
University of Oxford
Division:
MPLS
Department:
Mathematical Institute
Role:
Author
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Institution:
University of North Carolina, Charlotte, USA
Role:
Author
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Institution:
University of North Carolina, Charlotte, USA
Role:
Author
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Institution:
University of Oxford
Division:
MPLS
Department:
Engineering Science
Sub department:
Oxford e-Research Centre
Role:
Author
More by this author
Institution:
University of Oxford
Division:
MPLS
Department:
Engineering Science
Sub department:
Oxford e-Research Centre
Oxford college:
Pembroke College
Role:
Author
Publication date:
2012-12-01
Language:
English
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UUID:
uuid:cd08f787-d3a0-4262-9bdf-f77c0a0ae754
Local pid:
ora:8435
Deposit date:
2014-05-13

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