Machine Learning, Unsupervised Learning, Clustering, K Means.
randomly from the dataset. Each data point is assigned to the cluster whose centroid is closest to it. The centroid of each cluster is then recalculated as the mean of all the data points in the cluster. The process of assigning data points to clusters and recalculating centroids is repeated until