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

THI HAI ANH LUYEN

Clustering Time Series Using Spectral Density–Based Distances

Mikaela Westlake

Capturing the impact of patient variability in a novel cancer treatment using Bayesian inference

Timothy Ryall

Mathematical modelling and simulation of stress fibers in living cells

Lachlan Schilling

The Existence of a Topos