4087478
Applying unsupervised machine learning models to identify serve performance related indicators in women`s volleyball
In volleyball, the effect of different factors on serve performance has usually been analyzed with traditional statistical techniques such as logistic regression or discriminant analysis.
© Copyright 2024 Research Quarterly for Exercise and Sport. American Alliance for Health, Physical Education, Recreation and Dance (AAHPERD). All rights reserved.
| Subjects: | |
|---|---|
| Notations: | sport games technical and natural sciences |
| Tagging: | Clusteranalyse maschinelles Lernen Aufschlag |
| Published in: | Research Quarterly for Exercise and Sport |
| Language: | English |
| Published: |
2024
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| Online Access: | https://doi.org/10.1080/02701367.2022.2142494 |
| Volume: | 95 |
| Issue: | 1 |
| Pages: | 47-53 |
| Document types: | article |
| Level: | intermediate |