Visualizing Rugby Game Styles Using Self-Organizing Maps

被引：4

作者：

Lamb, Peter ^{[1
,2
]}

Croft, Hayden ^{[3
]}

机构：

[1] Univ Otago, Sch Phys Educ Sport & Exercise Sci, Dunedin, New Zealand

[2] Univ Otago, Biomech, Dunedin, New Zealand

[3] Otago Polytech, Dunedin, New Zealand

来源：

IEEE COMPUTER GRAPHICS AND APPLICATIONS | 2016年 / 36卷 / 06期

关键词：

computer graphics; self-organizing maps; sports analytics; visual analysis;

D O I：

10.1109/MCG.2016.115

中图分类号：

TP31 [计算机软件];

学科分类号：

081202 ; 0835 ;

摘要：

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 certain game styles, given the style of the opponent. © 1981-2012 IEEE.

引用

页码：11 / 15

页数：5

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