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dc.contributor.authorLamb, Peter
dc.contributor.authorCroft, Hayden
dc.date.available2018-06-06T04:35:52Z
dc.date.copyright2016
dc.identifier.citationLamb, P., & Croft, H. (2016). Visualizing rugby game styles using Self-Organizing Maps. IEEE Computer Graphics & Applications, 36(6), 11–15. doi:10.1109/MCG.2016.115en
dc.identifier.urihttp://hdl.handle.net/10523/8075
dc.description.abstractRugby coaches and analysts often use notational data describing match events to assess their team’s performance and to devise strategic plans for upcoming matches. However, given the volume and complexity of the data available, it is difficult for them to recognize high-dimensional relationships among the available performance variables. A nonlinear approach using self-organizing maps (SOM) can help visualize the performance of a team and its opponents as well as the subsequent suitability of certain game styles, given the style of the opponent.en_NZ
dc.format.mimetypeapplication/pdf
dc.language.isoenen_NZ
dc.publisherIEEEen_NZ
dc.relation.ispartofIEEE Computer Graphics & Applicationsen_NZ
dc.subjectcomputer graphicsen_NZ
dc.subjectsports analyticsen_NZ
dc.subjectvisual analysisen_NZ
dc.subjectself-organizing mapsen_NZ
dc.titleVisualizing rugby game styles using Self-Organizing Mapsen_NZ
dc.typeJournal Articleen_NZ
dc.date.updated2018-06-06T02:34:38Z
otago.schoolSchool of Physical Education, Sport and Exercise Sciencesen_NZ
otago.relation.issue6en_NZ
otago.relation.volume36en_NZ
dc.identifier.doi10.1109/MCG.2016.115en_NZ
otago.bitstream.endpage15en_NZ
otago.bitstream.startpage11en_NZ
otago.openaccessOpenen_NZ
dc.description.refereedPeer Revieweden_NZ
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