Hole or Grain? A Section Pursuit Index for Finding Hidden Structure in Multiple Dimensions

DOI10.1080/10618600.2022.2035230OpenAlexW3022778150MaRDI QIDQ5057084

Andreas Buja, Dianne Cook, Ursula Laa, German Valencia

Publication date: 15 December 2022

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

Full work available at URL: https://arxiv.org/abs/2004.13327

zbMATH Keywords

dimension reductionprojection pursuitexploratory data analysisdata sciencestatistical graphicsmultivariate datadata visualization

Mathematics Subject Classification ID

Statistics (62-XX)

Related Items (1)

New and Simplified Manual Controls for Projection and Slice Tours, With Application to Exploring Classification Boundaries in High Dimensions

Uses Software

• R
• e1071
• knitr
• tourr
• tidyverse
• condvis
• PPtreeViz

Cites Work

• Projection pursuit
• Using tours to visually investigate properties of new projection pursuit indexes with application to problems in physics
• Asymptotics of graphical projection pursuit
• The Grand Tour: A Tool for Viewing Multidimensional Data
• Hyperspherical harmonics with arbitrary arguments
• A Projection Pursuit Algorithm for Exploratory Data Analysis
• Visualizing statistical models: Removing the blindfold
• A Slice Tour for Finding Hollowness in High-Dimensional Data
• Burning Sage: Reversing the Curse of Dimensionality in the Visualization of High-Dimensional Data

This page was built for publication: Hole or Grain? A Section Pursuit Index for Finding Hidden Structure in Multiple Dimensions