New and simplified manual controls for projection and slice tours, with application to exploring classification boundaries in high dimensions

TL;DR

This paper introduces new interactive controls for high-dimensional data visualization, allowing users to explore variable contributions and local structures in projections and slices, aiding understanding of classification boundaries.

Contribution

It presents novel manual controls for projection and slice tours, enhancing exploration of high-dimensional data and classification boundaries, with implementations in Mathematica and R.

Findings

Enables interactive exploration of variable influence on projections.

Allows shifting slice centers to examine local data structures.

Provides tools for visualizing classification boundaries in high dimensions.

Abstract

This paper 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.