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Visualizing Rugby Game Styles Using Self-Organizing Maps
2016
IEEE Computer Graphics and Applications
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Rugby 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
doi:10.1109/mcg.2016.115
pmid:27893364
fatcat:kytrqdy4qfdfhnwvkaod2riofa