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

Ursula Laa, Alex Aumann, Dianne Cook, German Valencia

Research output: Contribution to journalArticleResearchpeer-review

Abstract

This article describes new user controls for examining high-dimensional data using low-dimensional linear projections and slices. A user can interactively change the contribution of a given variable to a low-dimensional projection, which is useful for exploring the sensitivity of structure to particular variables. The user can also interactively shift the center of a slice, for example, to explore how structure changes in local subspaces. The Mathematica package as well as example notebooks are provided, which contain functions enabling the user to experiment with these new manual controls, with one specifically for exploring regions and boundaries produced by classification models. The advantage of Mathematica is its linear algebra capabilities and interactive cursor location controls. Some limited implementation has also been made available in the R package tourr. Supplementary materials for this article are available online.

Original languageEnglish
Pages (from-to)1229-1236
Number of pages3
JournalJournal of Computational and Graphical Statistics
Volume32
Issue number3
DOIs
Publication statusPublished - 3 Jul 2023

Keywords

  • Data visualization
  • Dynamic graphics
  • Grand tour
  • Multivariate data
  • Statistical computing
  • Statistical graphics

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