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Lost in Translation: The Fundamental Flaws in Star Coordinate Visualizations
Author(s) -
Swee Chuan Tan,
Jeksen Tan
Publication year - 2017
Publication title -
procedia computer science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.334
H-Index - 76
ISSN - 1877-0509
DOI - 10.1016/j.procs.2017.05.087
Subject(s) - computer science , coordinate space , star (game theory) , coordinate system , plot (graphics) , space (punctuation) , visualization , process (computing) , geographic coordinate conversion , translation (biology) , artificial intelligence , geometry , astrophysics , mathematics , physics , statistics , operating system , biochemistry , chemistry , messenger rna , gene
The Star Coordinate Plot is a simple and efficient technique for visualizing multidimensional data. Since the proposal of this method in early 2000, several researchers have attempted to address its weakness of tending to project data points towards the origin of the star coordinate space. Despite such attempts, the weakness of Star Coordinate Plot is still not well understood. This paper gives the reasons for the weakness by pointing out two fundamental errors in the design of the original Star Coordinate Plot. We show how these errors result in loss of data points in the process of translating from n -dimensional space to the two-dimensional Star Coordinate space. We then propose the Enhanced Star Coordinate data visualization method to address these issues. Our experimental results show that the proposed method is superior to the original Star Coordinate Plot on several datasets used for evaluations.

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