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Two clusterings to capture basketball players’ shooting tendencies using tracking data: clustering of shooting styles and the shots themselves Cover

Two clusterings to capture basketball players’ shooting tendencies using tracking data: clustering of shooting styles and the shots themselves

International Journal of Computer Science in Sport
Volume 24 (2025): Issue 1 (February 2025)
By: Kazuhiro Yamada and  Keisuke Fujii  
Open Access
|Mar 2025

Authors

Kazuhiro Yamada

Graduate School of Informatics, Nagoya University, Nagoya, Japan

Keisuke Fujii

Graduate School of Informatics, Nagoya University, Nagoya, Japan
RIKEN Center for Advanced Intelligence Project, Suita, Japan
PRESTO, Japan Science and Technology Agency, Kawaguchi, Japan
DOI: https://doi.org/10.2478/ijcss-2025-0003 | Journal eISSN: 1684-4769
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Language: English
Page range: 35 - 55
Published on: Mar 2, 2025
Published by: International Association of Computer Science in Sport
In partnership with: Paradigm Publishing Services
Publication frequency: 2 issues per year
Keywords:
Basketball,
Clustering,
Gower Distance,
Wasserstein Distance
Related subjects:
Computer sciences,
Databases and data mining,
Computer sciences, other,
Sports and recreation,
Physical education,
Sports and recreation, other

© 2025 Kazuhiro Yamada, Keisuke Fujii, published by International Association of Computer Science in Sport
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

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