2021
DOI: 10.1002/wics.1573
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The state‐of‐the‐art on tours for dynamic visualization of high‐dimensional data

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 Data Statistical and Graphical Methods of Data Analysis > Statisti… Show more

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Cited by 4 publications
(3 citation statements)
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“…One key feature of the tour is the object permanence of the data points; one can track the relative change of instances in time and gain information about the relationships between points across multiple features. There are various types of tours that are distinguished by how the paths are generated (S. Lee et al 2021;Cook et al 2008).…”
Section: Tours and The Radial Tourmentioning
confidence: 99%
See 1 more Smart Citation
“…One key feature of the tour is the object permanence of the data points; one can track the relative change of instances in time and gain information about the relationships between points across multiple features. There are various types of tours that are distinguished by how the paths are generated (S. Lee et al 2021;Cook et al 2008).…”
Section: Tours and The Radial Tourmentioning
confidence: 99%
“…For multivariate data visualization, a tour (Asimov 1985;Buja and Asimov 1986; S. Lee et al 2021) of linear data projections onto a lower-dimensional space, can help. Tours are viewed as an animation over minor changes to the projection basis.…”
Section: Introductionmentioning
confidence: 99%
“…This research area has experienced a boom of developments recently, much of which is summarized by Lee et al (2021). Laa et al (2020c) developed the slice tour, which displays a slice through the orthogonal space, as opposed to a projection, to reveal concave or internal features.…”
mentioning
confidence: 99%