What is the KMeans Clustering Algorithm and How is it Used to Analyze Data? - DATAVERSITY

Click to learn more about author Kartik Patel. This article provides a brief explanation of the KMeans Clustering algorithm. The KMeans Clustering algorithm is a process by which objects are classified into number of groups so that they are as much dissimilar as possible from one group to another, and as much similar as possible within each group. KMeans Clustering is a grouping of similar things or data. For example, objects within group 1 (cluster 1) shown in image below should be as similar as possible.