22 citations · 127 across the 26 of their papers we have counts for
Showing 2019Show all
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stat.CO2019★ 8 cited
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…
stat.AP2019
A new tidy data structure to support exploration and modeling of temporal data
Earo Wang, Dianne Cook, Rob J Hyndman
Mining temporal data for information is often inhibited by a multitude of formats: irregular or multiple time intervals, point events that need aggregating, multiple observational…
stat.ME2019
Using tours to visually investigate properties of new projection pursuit indexes with application to problems in physics
Ursula Laa, Dianne Cook
Projection pursuit is used to find interesting low-dimensional projections of high-dimensional data by optimizing an index over all possible projections. Most indexes have been dev…