- Adam Wilkinson
- Willem Atack
- Hayden Wang
- Andrew Sergejewich
- Ian Ho
OHL Clustering
This project collects data using a webscraper and applies a K-Means clustering algorithm to cluster players into four groups based on four different player stats. A GUI was created to allow a user to be able to choose the data and stats used to cluster and then display the lists of players in each cluster, a graphical representation of the average normalized stats for each cluster and a 2D visualization of the clusters.
NHL Clustering
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Rebound Analysis
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