Differentiating movement styles in professional tennis: a machine learning and hierarchical clustering approach
Download
Full text for this resource is not available from the Research Repository.
Export
Giles, Brandon, Peeling, Peter ORCID: 0000-0002-3895-0015, Kovalchik, Stephanie and Reid, Machar (2021) Differentiating movement styles in professional tennis: a machine learning and hierarchical clustering approach. European Journal of Sport Science, 23 (1). pp. 44-53. ISSN 1746-1391
Dimensions Badge
Altmetric Badge
Item type | Article |
URI | https://vuir.vu.edu.au/id/eprint/45462 |
DOI | 10.1080/17461391.2021.2006800 |
Official URL | https://www.tandfonline.com/doi/full/10.1080/17461... |
Subjects | Current > FOR (2020) Classification > 4207 Sports science and exercise Current > Division/Research > Institute for Health and Sport |
Keywords | tennis, analytics, machine learning, cluster analysis |
Citations in Scopus | 3 - View on Scopus |
Download/View statistics | View download statistics for this item |
CORE (COnnecting REpositories)