New tools for visualising high-dimensional data using linear projections

by Prof. Dianne Cook (Monash University)

Thursday 7 Nov 2024, 14:00 → 16:00 Asia/Shanghai

Tsung-Dao Lee Institute/N6F-N600 - Lecture Room (Tsung-Dao Lee Institute)

Abstract:

In the last few years, there have been several huge strides in new methods available for exploring high-dimensional data using "tours", a collective term for visualisations built on linear projections. A tour consists of two key elements: the path, which generates a sequence, and the display that presents the low-dimensional projection. Numerous path algorithms are available and implemented in the `tourr` R package. These include the old (grand, guided, little, local, manual), and the new (slice, sage, radial). This talk will highlight these new tools and their application for contemporary challenges, such as understanding model fits, explaining explainable AI, making sense of nonlinear dimension reductions. Join me in exploring the fascinating world of high-dimensional data.

Biography：

Dianne Cook is a Professor of Statistics in Econometrics and Business Statistics at Monash University in Melbourne, Australia. She has a PhD in Statistics from Rutgers University. She is an international expert on high-dimensional data visualisation. These methods are useful in machine learning, and applications such as physics.

Alternative online link: https://meeting.tencent.com/dm/cGisPgl4H79Y   ID: 583-293-732