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Clustering Kinematic Patterns of Runners: A Comparative Study of Hierarchical, K-Means, and Deep Temporal Clustering Algorithms.

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Title: Clustering Kinematic Patterns of Runners: A Comparative Study of Hierarchical, K-Means, and Deep Temporal Clustering Algorithms.
Authors: Mohamadi, Zaniar1, Eslami, Mansour1 mseslami@gmail.com, Yousefpour, Rohollah2
Source: Scientific Journal of Rehabilitation Medicine. Nov/Dec2025, Vol. 14 Issue 5, p698-709.
Database: SPORTDiscus with Full Text
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  Data: Clustering Kinematic Patterns of Runners: A Comparative Study of Hierarchical, K-Means, and Deep Temporal Clustering Algorithms.
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  Data: <searchLink fieldCode="JN" term="%22Scientific+Journal+of+Rehabilitation+Medicine%22">Scientific Journal of Rehabilitation Medicine</searchLink>. Nov/Dec2025, Vol. 14 Issue 5, p698-709.
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      – Type: doi
        Value: 10.32598/SJRM.14.5.3363
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      – Text: Urdu
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        PageCount: 12
        StartPage: 698
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      – TitleFull: Clustering Kinematic Patterns of Runners: A Comparative Study of Hierarchical, K-Means, and Deep Temporal Clustering Algorithms.
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            NameFull: Mohamadi, Zaniar
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            NameFull: Eslami, Mansour
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              Text: Nov/Dec2025
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              Value: 14
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