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

Authors :
Laa, Ursula
Aumann, Alex
Cook, Dianne
Valencia, German
Publication Year :
2022

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.<br />Comment: 16 pages, 9 figures

Subjects

Subjects :
Statistics - Computation

Details

Database :
arXiv
Publication Type :
Report
Accession number :
edsarx.2210.05228
Document Type :
Working Paper