Dillon Batdorf

Time series clustering, visualisation and explainability - Applications in Climate Change and Finance

For this project the appropriate time series clustering techniques will be used to find underlying structures in the financial and phenological data. The structures found will then be visualised, with the suitable explainability techniques being used to describe and interpret the time series clustering methods that were utilised.

Dillon Batdorf

RMIT University

Dillon Batdorf is a third-year student at RMIT University, majoring in Applied Mathematics and Statistics. Dillon’s research interests broadly encompass the applications of machine learning and statistical techniques in various domains.

You may be interested in

Rebecca Rasmussen

What Kind of Random Walk are these Biological Cells Doing?

Youheng Yao

Representation Varieties of Once-Punctured Torus Bundles

Joshua Crawford

Inverse Scattering in the Recovery of a Single Concave and a Finite Union of Disjoint Convex Obstacles

Simran Bindra

Bayesian Estimation of Flexible Models for Sports Data