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

Louisa Best

Louisa Best

Phonetic Spelling Correction Using Vector Space Models and Dimensionality Reduction
Saakshi Singh

Saakshi Singh

Brauer Monoid Factorisations using Machine Learning Techniques
Gabriel Schussler

Gabriel Schussler

Moving through word embedding space
Joel Woodfield

Joel Woodfield

Data-Efficient Reinforcement Learning
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.