K Means, Unsupervised Learning, Advanced Analytics, Machine Learning.
centroid toward the center of the points in that cluster, in order to squeeze the cluster together and make it tighter. This process is repeated until there is no change in the position of the centroids, which indicates that the clusters have converged. The algorithm can also be used to identify