Hurley, Catherine B. and Oldfield, R.W. (2011) Eulerian tour algorithms for data visualization and the PairViz package. Computational Statistics, 26 (4). pp. 613-633. ISSN 0943-4062

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Abstract

PairViz is an R package that produces orderings of statistical objects for visualization purposes. We abstract the ordering problem to one of constructing edge-traversals of (possibly weighted) graphs. PairViz implements various edge traversal algorithms which are based on Eulerian tours and Hamiltonian decompositions. We describe these algorithms, their PairViz implementation and discuss their properties and performance. We illustrate their application to two visualization problems, that of assessing rater agreement, and model comparison in regression.

Item Type:	Article
Additional Information:	Postprint version of published article which is available at 10.1007/s00180-011-0229-5 . C.B. Hurley's research was supported by a Research Frontiers Grant from Science Foundation Ireland. R.W. Oldfield's research was supported in part by a Discovery Grant from the Natural Sciences and Engineering Research Council of Canada.
Keywords:	Hamiltonian; Eulerian tour; seriation; visualization; parallel coordinates;
Academic Unit:	Faculty of Science and Engineering > Mathematics and Statistics
Item ID:	5551
Identification Number:	https://doi.org/10.1007/s00180-011-0229-5
Depositing User:	Dr. Catherine Hurley
Date Deposited:	17 Nov 2014 15:31
Journal or Publication Title:	Computational Statistics
Publisher:	Springer
Refereed:	Yes
Funders:	Science Foundation Ireland, Natural Sciences and Engineering Research Council of Canada
URI:	http://link.springer.com/journal/180
Use Licence:	This item is available under a Creative Commons Attribution Non Commercial Share Alike Licence (CC BY-NC-SA). Details of this licence are available here

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