13 citations · 30 across the 6 of their papers we have counts for
7 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…
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…
Pandemonium: a clustering tool to partition parameter space -- application to the B anomalies
Ursula Laa, German Valencia
We introduce the interactive tool pandemonium to cluster model predictions that depend on a set of parameters. The model predictions are used to define the coordinates in observabl…
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…
Dynamical projections for the visualization of PDFSense data
Dianne Cook, Ursula Laa, German Valencia
A recent paper on visualizing the sensitivity of hadronic experiments to nucleon structure [1] introduces the tool PDFSense which defines measures to allow the user to judge the se…