Nov 4 – 8, 2019
Adelaide Convention Centre
Australia/Adelaide timezone

High-dimensional data visualisation with the grand tour

Nov 4, 2019, 12:00 PM
Hall G (Adelaide Convention Centre)

Hall G

Adelaide Convention Centre

Oral Track 6 – Physics Analysis Track 6 – Physics Analysis


Ursula Laa (Monash University)


In physics we often encounter high-dimensional data, in the form of multivariate measurements or of models with multiple free parameters. The information encoded is increasingly explored using machine learning, but is not typically explored visually. The barrier tends to be visualising beyond 3D, but systematic approaches for this exist in the statistics literature. I will use examples from particle and astrophysics to show how we can use the “grand tour” for such multidimensional visualisations, for example to explore grouping in high dimension and for visual identification of multivariate outliers. I will then discuss the idea of projection pursuit, i.e. searching the high-dimensional space for “interesting” low dimensional projections, and illustrate how we can detect complex associations between multiple parameters.

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Primary author

Ursula Laa (Monash University)

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