Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/143049
Title: Evaluation of star coordinate boundaries
Authors: Wang, Yan Chao
Lin, Feng
Seah, Hock Soon
Keywords: Engineering::Computer science and engineering
Issue Date: 2018
Source: Wang, Y. C., Lin, F., & Seah, H. S. (2018). Evaluation of star coordinate boundaries. Proceedings of Computer Graphics International 2018 (CGI 2018), 87-96. doi:10.1145/3208159.3208181
Abstract: In the visual analysis of high-dimensional data points, star coordinate plot maps the data points into an observable space by conducting a linear combination of radial distributed axes vectors. However, when plotting additional data points which are quite common in an engine performance and simulation model evaluation, the star coordinate is not effective due to undetermined plotting boundary. In response, we propose a geometric algorithm to determine the axis-aligned bounding box, minimum bounding box, and bounding polygon of the star coordinate with an evenly distributed configuration and an arbitrary distributed configuration respectively. These boundaries enable a continuous point rendering that adapts to the screen space boundary. Moreover, the determination of the boundaries provides deeper understandings on the star coordinate plots. Firstly, we amend the expression of the star coordinate by considering the boundaries such that the plotting can be generated reasonably. Secondly, the boundaries provide an objective and quantitative transformation to the widely accepted RadViz measures, in order to exploit the advantages of both. Finally, property analysis, such as the clumping effect of the star coordinate plot, is conducted based on the calculated boundaries.
URI: https://hdl.handle.net/10356/143049
ISBN: 978-1-4503-6401-0
DOI: 10.1145/3208159.3208181
Rights: © 2018 Association for Computing Machinery. All rights reserved. This paper was published in Proceedings of Computer Graphics International 2018 (CGI 2018) and is made available with permission of Association for Computing Machinery.
Fulltext Permission: open
Fulltext Availability: With Fulltext
Appears in Collections:SCSE Conference Papers

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