• Corpus ID: 233307077

Bisecting for selecting: using a Laplacian eigenmaps clustering approach to create the new European football Super League

@inproceedings{Bond2021BisectingFS,
  title={Bisecting for selecting: using a Laplacian eigenmaps clustering approach to create the new European football Super League},
  author={Alexander John Bond and Clive B. Beggs},
  year={2021}
}
We use European football performance data to select teams to form the proposed European football Super League, using only unsupervised techniques. We first used random forest regression to select important variables predicting goal difference, which we used to calculate the Euclidian distances between teams. Creating a Laplacian eigenmap, we bisected the Fielder vector to identify the five major European football leagues' natural clusters. Our results showed how an unsupervised approach could… 

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