Abstract
The major challenges in visualization of large n-D data in 2-D are in supporting the most efficient and fast usage of abilities of users to analyze visualized information and to extract patterns visually. This paper describes experimental results of a collaborative approach to support n-D data visualization based on new lossless n-D visualization methods (collocated paired coordinates and their stars modifications) that we propose. This is a second part of the work. The first part presented in a separate paper is focused on description of the algorithms.
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Grishin, V., Kovalerchuk, B. (2014). Multidimensional Collaborative Lossless Visualization: Experimental Study. In: Luo, Y. (eds) Cooperative Design, Visualization, and Engineering. CDVE 2014. Lecture Notes in Computer Science, vol 8683. Springer, Cham. https://doi.org/10.1007/978-3-319-10831-5_4
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DOI: https://doi.org/10.1007/978-3-319-10831-5_4
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-10830-8
Online ISBN: 978-3-319-10831-5
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