13 citations · 30 across the 6 of their papers we have counts for
4 papers · 1 filter
`pandemonium`: High Dimensional Analysis in Linked Spaces
Gabriel McCoy, German Valencia, Ursula Laa
A common challenge in data analysis is uncovering relationships between predictors and responses in problems involving large numbers of both. When the number of predictors and resp…
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…
Hole or grain? A Section Pursuit Index for Finding Hidden Structure in Multiple Dimensions
Ursula Laa, Dianne Cook, Andreas Buja +1
Multivariate data is often visualized using linear projections, produced by techniques such as principal component analysis, linear discriminant analysis, and projection pursuit. A…
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…