Possibly the simplest way to explain K-Means algorithm

Clustering is a technique for finding similarity groups in a data, called clusters. It attempts to group individuals in a population together by similarity, but not driven by a specific purpose. Clustering is often called an unsupervised learning, as you don’t have prescribed labels in the data and no class values denoting a priori grouping … Continue reading Possibly the simplest way to explain K-Means algorithm