Detecting tactical patterns in basketball: comparison of merge self-organising maps and dynamic controlled neural networks.

@article{Kempe2015DetectingTP,
  title={Detecting tactical patterns in basketball: comparison of merge self-organising maps and dynamic controlled neural networks.},
  author={Matthias Kempe and Andreas Grunz and Daniel Memmert},
  journal={European journal of sport science},
  year={2015},
  volume={15 4},
  pages={
          249-55
        }
}
The soaring amount of data, especially spatial-temporal data, recorded in recent years demands for advanced analysis methods. Neural networks derived from self-organizing maps established themselves as a useful tool to analyse static and temporal data. In this study, we applied the merge self-organising map (MSOM) to spatio-temporal data. To do so, we investigated the ability of MSOM's to analyse spatio-temporal data and compared its performance to the common dynamical controlled network (DyCoN… CONTINUE READING
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