Find the Top NHL Snipers using a K-means Cluster Analysis

In this quick-hit video, we'll demonstrate how you can discover the top ten NHL snipers using a K-means cluster. K-means clustering is a simple clustering technique that discovers groups (or k clusters) using an unsupervised machine learning technique. It's versatile, and you can use the code and dataset we provide to experiment with different clustering scenarios. To get the dataset and R code, check out the accompanying newsletter: www.datapunkhockey.com/top-snipers-using-k-means-clustering. Also, sign up at datapunkhockey.com for regular content and reports on all things hockey analytics!