4 citations · 6 across the 8 of their papers we have counts for
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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 +1
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…
Burning sage: Reversing the curse of dimensionality in the visualization of high-dimensional data
Ursula Laa, Dianne Cook, Stuart Lee
In high-dimensional data analysis the curse of dimensionality reasons that points tend to be far away from the center of the distribution and on the edge of high-dimensional space.…
A slice tour for finding hollowness in high-dimensional data
Ursula Laa, Dianne Cook, German Valencia
Taking projections of high-dimensional data is a common analytical and visualisation technique in statistics for working with high-dimensional problems. Sectioning, or slicing, thr…
Expanding tidy data principles to facilitate missing data exploration, visualization and assessment of imputations
Nicholas J Tierney, Dianne H Cook
Despite the large body of research on missing value distributions and imputation, there is comparatively little literature with a focus on how to make it easy to handle, explore, a…