Machine Learning, Clustering, Data Science, Unsupervised Learning, Towards Data Science.
algorithm for partitioning the n samples into k clusters so as to minimize the sum of the squared distances to the cluster centers. It does have some weaknesses: The way to initialize the means was not specified. One popular way to start is to randomly choose k of the samples. It can happen that