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

Jecinta Jaarola

Jecinta Jaarola

Improving the Prediction of Patient Outcomes via Integration of Clinical Information with Genome-wide Data
Chih Yuan (Yuan) Chan

Chih Yuan (Yuan) Chan

Investigation of the switching threshold in the Switching Observer Model for human perceptual estimation
Nelly Tucker

Nelly Tucker

Long memory random walks
Isaac Bankier

Isaac Bankier

Freely Adding Equality to Primary Fibrations
Contact Us

We're not around right now. But you can send us an email and we'll get back to you, asap.

Not readable? Change text.