IDEAS home Printed from https://ideas.repec.org/a/zib/zbnmsj/v1y2019i1p04-07.html
   My bibliography  Save this article

Sports Competition Stressors Based On K-Means Algorithm

Author

Listed:
  • Ranjit Kumar

    (Institute of Sports Science & Technology, Pune, India)

  • Zhengwu Liu

    (Weinan Normal University, China)

  • Wan Zamri

    (Faculty of Applied Sciences, Tunku Abdul Rahman University College, Setapak, Kuala Lumpur, Malaysia)

Abstract

In view of the data characteristics of the sports competition stressor, a new improved hierarchical K-Means algorithm is formed by combining the known partition algorithm K-Means algorithm with the hierarchical algorithm. At the same time, the improved algorithm is really applied to the data of sports competition stressor, and the clustering results are obtained and analyzed. The results show that different types of athletes face different pressures due to their own conditions and external environment, and their stressors are quite different. It is concluded that for different types of players, their own circumstances should be considered. It is necessary to conduct emotional guidance to prevent the negative emotion of the athletes.

Suggested Citation

  • Ranjit Kumar & Zhengwu Liu & Wan Zamri, 2019. "Sports Competition Stressors Based On K-Means Algorithm," Malaysian Sports Journal (MSJ), Zibeline International Publishing, vol. 1(1), pages 04-07, October.
    • Handle: RePEc:zib:zbnmsj:v:1:y:2019:i:1:p:04-07
    DOI: 10.26480/msj.01.2019.04.07
    as

    Download full text from publisher

    File URL: https://mysj.com.my/download/5851/
    Download Restriction: no
    File URL: https://libkey.io/10.26480/msj.01.2019.04.07?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:zib:zbnmsj:v:1:y:2019:i:1:p:04-07. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Zibeline International Publishing The email address of this maintainer does not seem to be valid anymore. Please ask Zibeline International Publishing to update the entry or send us the correct address (email available below). General contact details of provider: https://mysj.com.my/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.