Identification of pattern mining algorithm for rugby league players positional groups separation based on movement patterns

• Victor Elijah Adeyemo ,

  Roles Conceptualization, Data curation, Investigation, Methodology, Project administration, Visualization, Writing – original draft

  * E-mail: v.adeyemo@leedsbeckett.ac.uk

  Affiliations School of Built Environment, Engineering and Computing, Leeds Beckett University, Leeds, United Kingdom, Carnegie School of Sport, Leeds Beckett University, Leeds, United Kingdom, England Performance Unit, Rugby Football League, Manchester, United Kingdom, Leeds Rhinos Rugby League Club, Leeds, United Kingdom

  https://orcid.org/0000-0002-8398-3609

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• Anna Palczewska,

  Roles Conceptualization, Supervision, Writing – review & editing

  Affiliation School of Built Environment, Engineering and Computing, Leeds Beckett University, Leeds, United Kingdom

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• Ben Jones,

  Roles Conceptualization, Supervision, Writing – review & editing

  Affiliations Carnegie School of Sport, Leeds Beckett University, Leeds, United Kingdom, England Performance Unit, Rugby Football League, Manchester, United Kingdom, Leeds Rhinos Rugby League Club, Leeds, United Kingdom, School of Behavioural and Health Science, Faculty of Health Sciences, Australian Catholic University, Brisbane, QLD, Australia, Division of Physiological Sciences and Health through Physical Activity, Lifestyle and Sport Research Centre, Department of Human Biology, Faculty of Health Sciences, University of Cape Town, Cape Town, South Africa

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• Dan Weaving

  Roles Conceptualization, Supervision, Writing – review & editing

  Affiliation Carnegie School of Sport, Leeds Beckett University, Leeds, United Kingdom

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