How to Determine the Right Number of Clusters (with Code)

Clustering is a fundamental skill in your Data Science toolkit. It can solve a huge array of problems -- from user segmentation to anomaly detection -- and can help your team derive very interesting insights. Determining the right number of clusters for your project is a little more art than science. In this article, I will go over a few common ways to determine the right number of clusters. The objective of this metric is to find the "Elbow" of the WSS curve in order to determine the smallest number of clusters that captures the most amount of signal in your data.