A Review of the State-of-the-Art on Tours for Dynamic Visualization of High-dimensional Data Article Swipe

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Stuart Lee , Dianne Cook , Natalia da Silva , Ursula Laa , Earo Wang , Nicholas Spyrison , H. Sherry Zhang ·

YOU? · · 2021 · Open Access · · DOI: https://doi.org/10.48550/arxiv.2104.08016

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.

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Visualization (Graphics)

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State (computer science) Visualization Data science Computer science Computer graphics (images) Data mining Algorithm

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Type: review
Language: en
Landing Page: http://arxiv.org/abs/2104.08016
PDF: https://arxiv.org/pdf/2104.08016
OA Status: green
Cited By: 1
References: 36
Related Works: 10
OpenAlex ID: https://openalex.org/W3153080202

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DOI: https://doi.org/10.48550/arxiv.2104.08016

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Title: A Review of the State-of-the-Art on Tours for Dynamic Visualization of High-dimensional Data

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Type: review

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Language: en

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Publication year: 2021

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Publication date: 2021-04-16

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Authors: Stuart Lee, Dianne Cook, Natalia da Silva, Ursula Laa, Earo Wang, Nicholas Spyrison, H. Sherry Zhang

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Landing page: https://arxiv.org/abs/2104.08016

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PDF URL: https://arxiv.org/pdf/2104.08016

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Concepts: State (computer science), Visualization, Data science, Computer science, Computer graphics (images), Data mining, Algorithm

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Cited by: 1

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Citations by year (recent): 2021: 1

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References (count): 36

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