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
Brenton Horne
Investigating spontaneous symmetry breaking of spatial Kerr solitons in fractional spatial dimensions using Fourier spectral methods.
