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I’m a college freshman and lifelong Celtics fan. I’ve been interested in statistics for a long time, and am starting Dribble Analytics to explore my interest in basketball analytics while learning Python and data science. To read more about the blog and my story, check out the “About” page.

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Category: Clustering

April 23, 2019April 26, 2019

Defining NBA players by role with k-means clustering

In the modern NBA, players serve roles that are much different from their expected position. Let’s use k-means clustering to group the NBA into 12 roles.

Posted in Clustering. Leave a comment
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