A virtual workspace for hybrid multidimensional scaling algorithms

Ross, G. and Chalmers, M. (2003) A virtual workspace for hybrid multidimensional scaling algorithms. In: IEEE Symposium on Information Visualization, Seattle, Washington, 19-21 October 2003, pp. 91-96. ISBN 9780780381544



Publisher's URL: http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=1249013


In visualising multidimensional data, it is well known that different types of algorithms to process them. Data sets might be distinguished according to volume, variable types and distribution, and each of these characteristics imposes constraints upon the choice of applicable algorithms for their visualization. Previous work has shown that a hybrid algorithmic approach can be successful in addressing the impact of data volume on the feasibility of multidimensional scaling (MDS). This suggests that hybrid combinations of appropriate algorithms might also successfully address other characteristics of data. This paper presents a system and framework in which a user can easily explore hybrid algorithms and the data flowing through them. Visual programming and a novel algorithmic architecture let the user semi-automatically define data flows and the co-ordination of multiple views.

Item Type:Conference Proceedings
Glasgow Author(s) Enlighten ID:Chalmers, Professor Matthew
Authors: Ross, G., and Chalmers, M.
Subjects:Q Science > QA Mathematics > QA75 Electronic computers. Computer science
College/School:College of Science and Engineering > School of Computing Science
Publisher:Institute of Electrical and Electronics Engineers
Copyright Holders:Copyright © 2003 Institute of Electrical and Electronics Engineers
First Published:First published in Proceedings : IEEE Symposium on Information Visualization 2003
Publisher Policy:Reproduced in accordance with the copyright policy of the publisher

University Staff: Request a correction | Enlighten Editors: Update this record