K Means, Unsupervised Learning, Advanced Analytics, Machine Learning.
points to one of K number of clusters and the centroid of each cluster is updated based on the data points assigned to it. This process is repeated until the centroids converges, meaning that the clusters are relatively stable. K-means clustering is an efficient algorithm and it is not