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A composite multidimensional visualization method based on eCLPCs


Li, M and Zhu, M and Gan, Q and Liang, T, A composite multidimensional visualization method based on eCLPCs, Journal of Computational Information Systems, 11, (16) pp. 5853-5864. ISSN 1553-9105 (2015) [Refereed Article]

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Copyright Statement

Copyright 2015 Binary Information Press

DOI: doi:10.12733/jcis14964


In this paper, we propose a composite multidimensional visualization method based on an enhanced circular layout parallel coordinates (eCLPCs) design, integrated with points and lines, by taking advantage of parallel coordinates, Andrews Curves, scatterplots and radial coordinates. Following the design of circular layout parallel coordinates, we give a scheme including three layers, from outside to inside separately as Andrews Curves connecting with parallel coordinates to visualize the linear dependence of several selected dimensions, line connections or points congregations to illustrate the relations of a chosen dimension with all other dimensions, and radial coordinates realized with Spring Model to enhance the overall clustering effects. Also, a series of interactions have been developed in our work including keyboard control, mode transformation, filtering and searching operations, etc. Experiments on a classic car dataset and a grade report dataset prove that our scheme is efficient to solve multidimensional problems from multiple aspects.

Item Details

Item Type:Refereed Article
Keywords:Composite visualization; eCLPCs; Information visualization; Multidimensional; Parallel coordinates
Research Division:Information and Computing Sciences
Research Group:Information Systems
Research Field:Computer-Human Interaction
Objective Division:Expanding Knowledge
Objective Group:Expanding Knowledge
Objective Field:Expanding Knowledge in the Information and Computing Sciences
Author:Li, M (Mr Mingzhao Li)
ID Code:108815
Year Published:2015
Deposited By:Information and Communication Technology
Deposited On:2016-05-06
Last Modified:2016-10-26

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