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Visualizing Time-Varying Matrices Using Multidimensional Scaling and Reorderable Matrices
London, England July 14-July 16
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/IV.2004.1320200Eighth International Conference on In ...
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Ermir Qeli, Wolfgang Wiechert, Bernd Freisleben, "Visualizing Time-Varying Matrices Using Multidimensional Scaling and Reorderable Matrices," Information Visualisation, International Conference on, pp. 561-567, Eighth International Conference on Information Visualisation (IV'04), 2004.
 
 
BibTex
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@article{ 10.1109/IV.2004.1320200,
author = {Ermir Qeli and Wolfgang Wiechert and Bernd Freisleben},
title = {Visualizing Time-Varying Matrices Using Multidimensional Scaling and Reorderable Matrices},
journal ={Information Visualisation, International Conference on},
volume = {0},
year = {2004},
issn = {1093-9547},
pages = {561-567},
doi = {http://doi.ieeecomputersociety.org/10.1109/IV.2004.1320200},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
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TY - CONF
JO - Information Visualisation, International Conference on
TI - Visualizing Time-Varying Matrices Using Multidimensional Scaling and Reorderable Matrices
SN - 1093-9547
SP561
EP567
A1 - Ermir Qeli,
A1 - Wolfgang Wiechert,
A1 - Bernd Freisleben,
PY - 2004
KW - Visualization
KW - Multidimensional Scaling
KW - Reorderable Matrices
KW - Time-Varying Matrices
VL - 0
JA - Information Visualisation, International Conference on
ER -
 
Ermir Qeli, University of Marburg, Germany
Wolfgang Wiechert, University of Siegen, Germany
Bernd Freisleben, University of Marburg, Germany
In this paper, we present a novel approach to visualize time-varying matrices. This approach is based on combining multidimensional scaling and the reorderable matrix method. An adapted version of multidimensional scaling which allows the construction of similarity plots for columns/rows of time-varying matrices is proposed. In addition, we have extended the reorderable matrix method to allow the visual exploration of time-varying matrix data in a tabular form for being able to verify the results of MDS and possibly discover new patterns in data. The benefits of our approach are illustrated by showing visualizations of sensitivity matrices generated during simulations of metabolic network models.
Index Terms:
Visualization, Multidimensional Scaling, Reorderable Matrices, Time-Varying Matrices
Citation:
Ermir Qeli, Wolfgang Wiechert, Bernd Freisleben, "Visualizing Time-Varying Matrices Using Multidimensional Scaling and Reorderable Matrices," iv, pp.561-567, Eighth International Conference on Information Visualisation (IV'04), 2004
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