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

Tran Khanh Hung Giang

Design and analysis of bilevel optimisation algorithms

Stephen Dang

Comparison of Regression-Adjusted ABC and Neural Methods for Simulation-Based Inference

Isaac Bankier

Freely Adding Equality to Primary Fibrations

Emily Palit

A Generalisation of the Ising Model on the Complete Graph