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The visual exploration of aggregate similarity for multi-dimensional clustering

 
: Twellmeyer, James; Hutter, Marco; Behrisch, Michael; Kohlhammer, Jörn; Schreck, Tobias

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Braz, José (Ed.) ; Institute for Systems and Technologies of Information, Control and Communication -INSTICC-, Setubal:
6th International Conference on Information Visualization Theory and Applications, IVAPP 2015. Proceedings : Berlin, Germany, 11 - 14 March 2015; Part of VISIGRAPP, the 10th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications
SciTePress, 2015
ISBN: 978-989-758-088-8
S.40-50
International Conference on Information Visualization Theory and Applications (IVAPP) <6, 2015, Berlin>
International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP) <10, 2015, Berlin>
Englisch
Konferenzbeitrag
Fraunhofer IGD ()
clustering; information visualization; Visual analytics; similarity functions; aggregation functions

Abstract
We present a visualisation prototype for the support of a novel approach to clustering called TRIAGE. TRIAGE uses aggregation functions which are more adaptable and flexible than the weighted mean for similarity modelling. While TRIAGE has proven itself in practice, the use of complex similarity models makes the interpretation of TRIAGE clusterings challenging. We address this challenge by providing analysts with a linked, matrix-based visualisation of all relevant data attributes. We employ data sampling and matrix seriation to support both effective overviews and fluid, interactive exploration using the same visual metaphor for heterogeneous attributes. The usability of our prototype is demonstrated and assessed with the help of real-world usage scenarios from the cyber-security domain.

: http://publica.fraunhofer.de/dokumente/N-336434.html