199 citations · 688 across the 29 of their papers we have counts for
32 papers
`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…
Is this normal? A new projection pursuit index to assess a sample against a multivariate null distribution
Annalisa Calvi, Ursula Laa, Dianne Cook
Many data problems contain some reference or normal conditions, upon which to compare newly collected data. This scenario occurs in data collected as part of clinical trials to det…
A Tidy Framework and Infrastructure to Systematically Assemble Spatio-temporal Indexes from Multivariate Data
H. Sherry Zhang, Dianne Cook, Ursula Laa +2
Indexes are useful for summarizing multivariate information into single metrics for monitoring, communicating, and decision-making. While most work has focused on defining new inde…
Frame to frame interpolation for high-dimensional data visualisation using the woylier package
Zoljargal Batsaikhan, Dianne Cook, Ursula Laa
The woylier package implements tour interpolation paths between frames using Givens rotations. This provides an alternative to the geodesic interpolation between planes currently a…
Clustering and visualization tools to study high dimensional parameter spaces: B anomalies example
Ursula Laa, German Valencia
We describe the applications of clustering and visualization tools using the so-called neutral B anomalies as an example. Clustering permits parameter space partitioning into regio…
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…