A Slice Tour for Finding Hollowness in High-Dimensional Data

DOI10.1080/10618600.2020.1777140OpenAlexW3103358654MaRDI QIDQ5066018

Ursula Laa, Dianne Cook, German Valencia

Publication date: 28 March 2022

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

Full work available at URL: https://arxiv.org/abs/1910.10854

zbMATH Keywords

statistical computingstatistical graphicsmultivariate datadata visualizationdynamic graphicsgrand tour

Mathematics Subject Classification ID

Statistics (62-XX)

Related Items (4)

Hole or Grain? A Section Pursuit Index for Finding Hidden Structure in Multiple Dimensions ⋮ Burning Sage: Reversing the Curse of Dimensionality in the Visualization of High-Dimensional Data ⋮ New and Simplified Manual Controls for Projection and Slice Tours, With Application to Exploring Classification Boundaries in High Dimensions ⋮ Interactive Slice Visualization for Exploring Machine Learning Models

Uses Software

• GGobi
• R
• UCI-ml
• knitr
• XGobi
• tourr
• condvis
• t-SNE

Cites Work

• Unnamed Item
• GGobi: evolving from XGobi into an extensible framework for interactive data visualization
• Data mining and data visualization
• The Grand Tour: A Tool for Viewing Multidimensional Data
• Visualizing statistical models: Removing the blindfold

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