Evaluation of star coordinate boundaries
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 simulati...
| Main Authors: | , , |
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| Other Authors: | |
| Format: | Conference Paper |
| Language: | English |
| Published: |
2020
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| Subjects: | |
| Online Access: | https://hdl.handle.net/10356/143049 |
| _version_ | 1811687265661878272 |
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| author | Wang, Yan Chao Lin, Feng Seah, Hock Soon |
| author2 | School of Computer Science and Engineering |
| author_facet | School of Computer Science and Engineering Wang, Yan Chao Lin, Feng Seah, Hock Soon |
| author_sort | Wang, Yan Chao |
| collection | NTU |
| description | 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. |
| first_indexed | 2024-10-01T05:13:34Z |
| format | Conference Paper |
| id | ntu-10356/143049 |
| institution | Nanyang Technological University |
| language | English |
| last_indexed | 2024-10-01T05:13:34Z |
| publishDate | 2020 |
| record_format | dspace |
| spelling | ntu-10356/1430492020-07-23T05:46:15Z Evaluation of star coordinate boundaries Wang, Yan Chao Lin, Feng Seah, Hock Soon School of Computer Science and Engineering Computer Graphics International 2018 (CGI 2018) Rolls-Royce@NTU Corporate Lab Engineering::Computer science and engineering Star Coordinate Subsequent Data 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. Ministry of Education (MOE) National Research Foundation (NRF) Accepted version This work was conducted within the Rolls-Royce@NTU Corporate Lab with support from the National Research Foundation (NRF) Singapore under the Corp Lab@University Scheme. We also acknowl-edge the support by MOE grant RGC 2017-T1-001-053, Singapore. 2020-07-23T05:46:15Z 2020-07-23T05:46:15Z 2018 Conference Paper 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 978-1-4503-6401-0 https://hdl.handle.net/10356/143049 10.1145/3208159.3208181 2-s2.0-85062881735 87 96 en © 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. application/pdf |
| spellingShingle | Engineering::Computer science and engineering Star Coordinate Subsequent Data Wang, Yan Chao Lin, Feng Seah, Hock Soon Evaluation of star coordinate boundaries |
| title | Evaluation of star coordinate boundaries |
| title_full | Evaluation of star coordinate boundaries |
| title_fullStr | Evaluation of star coordinate boundaries |
| title_full_unstemmed | Evaluation of star coordinate boundaries |
| title_short | Evaluation of star coordinate boundaries |
| title_sort | evaluation of star coordinate boundaries |
| topic | Engineering::Computer science and engineering Star Coordinate Subsequent Data |
| url | https://hdl.handle.net/10356/143049 |
| work_keys_str_mv | AT wangyanchao evaluationofstarcoordinateboundaries AT linfeng evaluationofstarcoordinateboundaries AT seahhocksoon evaluationofstarcoordinateboundaries |