Understanding Complexity: A Machine Learning Approach to Exploring Playing Styles in Australian Football
| dc.contributor.author | Moffatt, Samuel Joseph | |
| dc.contributor.supervisor | Ritu Gupta | en_US |
| dc.contributor.supervisor | Brad S Keller, Freemantle Football Club | en_US |
| dc.contributor.supervisor | Suman Rakshit | en_US |
| dc.date.accessioned | 2025-08-15T00:37:41Z | |
| dc.date.available | 2025-08-15T00:37:41Z | |
| dc.date.issued | 2025 | en_US |
| dc.identifier.uri | http://hdl.handle.net/20.500.11937/98296 | |
| dc.description.abstract |
The thesis introduced a novel clustering framework utilising a composite cluster assessment index informed by subject matter expert knowledge to guide the selection of optimal cluster hyper-parameters. The framework defined five offensive, five defensive, and six transitional team playing styles and six offensive, six defensive, and four transitional player playing styles implemented in the 2021 – 2023 AFL seasons. Further analysis of team playing styles and individual playing performance uncovered deeper insights to assist coaching decisions. | en_US |
| dc.publisher | Curtin University | en_US |
| dc.title | Understanding Complexity: A Machine Learning Approach to Exploring Playing Styles in Australian Football | en_US |
| dc.type | Thesis | en_US |
| dcterms.educationLevel | PhD | en_US |
| curtin.department | School of Electrical Engineering, Computing and Mathematical Sciences | en_US |
| curtin.accessStatus | Open access | en_US |
| curtin.faculty | Science and Engineering | en_US |
| curtin.contributor.orcid | Moffatt, Samuel Joseph [0000-0002-2048-1556] | en_US |