4 papers
Visualizing probability distributions across bivariate cyclic temporal granularities
Sayani Gupta, Rob J Hyndman, Dianne Cook +1
Deconstructing a time index into time granularities can assist in exploration and automated analysis of large temporal data sets. This paper describes classes of time deconstructio…
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 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…
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…