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Applying a hierarchical clustering technique to find football players similar to each other

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Hierchical Clustering

Unsupervised machine learning techniques to identify players with similar characteristics among them in La Liga 2018/2019 season (data extracted from Opta F24 files).
Feature 1: Passes to the final 3rd (p90m)
Feature 2: Deep progressions (p90m)
Feature 3: Pass accuracy (%)
Feature 4: Dribbles completed (p90m)
Feature 5: Failed dribbles (p90m)
Feature 6: Unsuccessful touches (p90m)
Feature 7: Chances created (p90m)
Feature 8: Passes forward in final thrid (p90m)
Feature 9: Through passes (p90m)
Feature 10: Passes forward > 20m (p90m)
Feature 11: Position on the field

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