Burning Sage: Reversing the Curse of Dimensionality in the Visualization of High-Dimensional Data

DOI10.1080/10618600.2021.1963264OpenAlexW3200279600MaRDI QIDQ5083351

Stuart Lee, Dianne Cook, Ursula Laa

Publication date: 22 June 2022

Published in: Journal of Computational and Graphical Statistics (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/2009.10979

zbMATH Keywords

machine learningdata sciencestatistical computingstatistical graphicsmultivariate datadata visualizationdynamic graphicsgrand tour

Mathematics Subject Classification ID

Statistics (62-XX)

Related Items (2)

Hole or Grain? A Section Pursuit Index for Finding Hidden Structure in Multiple Dimensions ⋮ Fully Three-Dimensional Radial Visualization

Uses Software

• Unnamed Item
• Bioconductor
• knitr
• tourr
• t-SNE
• scRNAseq
• scater

Cites Work

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• Unnamed Item
• Distance-Weighted Discrimination
• Data mining and data visualization
• Asymptotics of graphical projection pursuit
• The Grand Tour: A Tool for Viewing Multidimensional Data
• A Slice Tour for Finding Hollowness in High-Dimensional Data
• Fast unfolding of communities in large networks
• The maximal data piling direction for discrimination
• Geometric Representation of High Dimension, Low Sample Size Data

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