Sports data analysis of track and field athletes based on IID-OPK and NonIID-OPK algorithms
The traditional K-means clustering algorithm randomly selects clustering center points, which can easily lead to unstable clustering results and be affected by outliers, making it unable to handle complex sports data of track and field athletes. Therefore, the research introduces the Independent and...
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2025-12-01
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| Series: | Systems and Soft Computing |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2772941925001140 |
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