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The state‐of‐the‐art on tours for dynamic visualization of high‐dimensional data.

Authors :
Lee, Stuart
Cook, Dianne
da Silva, Natalia
Laa, Ursula
Spyrison, Nicholas
Wang, Earo
Zhang, H. Sherry
Source :
WIREs: Computational Statistics; Jul2022, Vol. 14 Issue 4, p1-18, 18p
Publication Year :
2022

Abstract

This article discusses a high‐dimensional visualization technique called the tour, which can be used to view data in more than three dimensions. We review the theory and history behind the technique, as well as modern software developments and applications of the tour that are being found across the sciences and machine learning. This article is categorized under:Statistical and Graphical Methods of Data Analysis > Analysis of High Dimensional DataStatistical and Graphical Methods of Data Analysis > Statistical Graphics and VisualizationStatistical Learning and Exploratory Methods of the Data Sciences > Exploratory Data Analysis [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
19395108
Volume :
14
Issue :
4
Database :
Complementary Index
Journal :
WIREs: Computational Statistics
Publication Type :
Academic Journal
Accession number :
157874737
Full Text :
https://doi.org/10.1002/wics.1573