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Realigning Sports Leagues with a Clustering Algorithm
Jan. 17, 2022, 5:28 p.m. | Logan Donaldson
Towards Data Science - Medium towardsdatascience.com
Using a modified K-means algorithm to group professional sports teams into divisions which minimize travel distance
Photo by Mick Haupt on UnsplashExplanation of Divisional Structure in Professional Sports Leagues
In the United States professional sports leagues such as the National Football League (NFL), National Basketball Association (NBA), Major League Baseball (MLB), National Hockey League (NHL), and Major League Soccer (MLS) group teams into divisions. Teams belonging to the same division play each other more often. This divisional structure is …
algorithm clustering data science data visualization k-means-clustering python sports
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