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

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Bibliographic Details
Published in:International Journal of Computer Science in Sport
Format: Online Article RSS Article
Published: 2025
Subjects:
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container_title International Journal of Computer Science in Sport
description
discipline_display Computer Science
discipline_facet Computer Science
format Online Article
RSS Article
genre Journal Article
id rss_article:78374
institution FRELIP
journal_source_facet International Journal of Computer Science in Sport
publishDate 2025
publishDateSort 2025
record_format rss_article
spellingShingle Two clusterings to capture basketball players’ shooting tendencies using tracking data: clustering of shooting styles and the shots themselves
Computer Science
General
Computer Science
sub_discipline_display General
sub_discipline_facet General
subject_display Computer Science
General
Computer Science
Computer Science
General
Computer Science
subject_facet Computer Science
General
Computer Science
title Two clusterings to capture basketball players’ shooting tendencies using tracking data: clustering of shooting styles and the shots themselves
title_auth Two clusterings to capture basketball players’ shooting tendencies using tracking data: clustering of shooting styles and the shots themselves
title_full Two clusterings to capture basketball players’ shooting tendencies using tracking data: clustering of shooting styles and the shots themselves
title_fullStr Two clusterings to capture basketball players’ shooting tendencies using tracking data: clustering of shooting styles and the shots themselves
title_full_unstemmed Two clusterings to capture basketball players’ shooting tendencies using tracking data: clustering of shooting styles and the shots themselves
title_short Two clusterings to capture basketball players’ shooting tendencies using tracking data: clustering of shooting styles and the shots themselves
title_sort two clusterings to capture basketball players’ shooting tendencies using tracking data: clustering of shooting styles and the shots themselves
topic Computer Science
General
Computer Science
url https://sciendo.com/article/10.2478/ijcss-2025-0003