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},
  pages={249 - 255}
}
Abstract 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… 

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