A quick K-Means primer In order to segment our customers, we need a way to compare them. To do this we're going to use K-Means clustering. K-means is a way of taking a dataset and finding groups (or clusters) of points that have similar properties. K-means works by grouping the points together in such a way that the distance between all the points and the midpoint of the cluster they belong to is