Visualizing Higher-Dimensional Data
  IJCTT-book-cover
 		          
 
© 2024 by IJCTT Journal
Volume-72 Issue-8
Year of Publication : 2024
Authors : Atmajitsinh Gohil
DOI :  10.14445/22312803/IJCTT-V72I8P115

How to Cite?

Atmajitsinh Gohil, "Visualizing Higher-Dimensional Data," International Journal of Computer Trends and Technology, vol. 72, no. 8, pp.104-108, 2024. Crossref, https://doi.org/10.14445/22312803/IJCTT-V72I8P115

Abstract
The advances in technology have led to generating not only large volumes of data but also at a higher frequency. The data generated is dynamic and available in different formats. The data generated in the present time is thus higher dimensional data. The primary objective of the paper is to review the data visualization techniques for summarizing and interpreting higher dimensional data. The paper studies the challenges of higher dimensional data and addresses the same through various visualization techniques.

Keywords
Data visualization, High dimensional data, Artificial Intelligence, Data analysis techniques, Data visualization tools.

Reference

[1] D. Srivastava, “An Introduction to Data Visualization Tools and Techniques in Various Domains,” International Journal of Computer Trends Technology, vol. 71, no. 4, pp.125-30, 2023.
[CrossRef] [Google Scholar] [Publisher Link]
[2] Nathan Yau, Data Points: Visualization that Means Something, John Wiley & Sons, 2013.
[Google Scholar] [Publisher Link]
[3] Evgeniy Yur’evich Gorodov, and Vasiliy Vasil’evich Gubarev, “Analytical Review of Data Visualization Methods in Application to Big Data,” Journal of Electrical and Computer Engineering, vol. 2013, no. 1, pp. 1-7, 2013.
[CrossRef] [Google Scholar] [Publisher Link]
[4] Herman Chernoff, “The Use of Faces to Represent Points in K-Dimensional Space Graphically,” Journal of the American Statistical Association, vol. 68, no. 342 pp. 361-368, 1973.
[CrossRef] [Google Scholar] [Publisher Link]
[5] Martijn Tennekes, and Edwin de Jonge, “Top-Down Data Analysis with Treemaps,” In Proceedings of the International Conference on Imaging Theory and Applications, Vilamoura, Algarve, Portugal, vol. 2, pp. 236-241, 2011.
[CrossRef] [Google Scholar] [Publisher Link]
[6] Paul Embrechts, and Agnes M. Herzberg, Variations of Andrews’ Plots, International Statistical Review / Revue Internationale de Statistique, vol. 59, no. 2, pp. 175-194, 1991.
[CrossRef] [Google Scholar] [Publisher Link]