Data Science, Machine Learning, Programming, Data Analysis, K Means Clustering.
(hyper-parameter) centers -> randomly initialized k centers ((k,M) matrix) for i in n_steps: - assign each point to a cluster based on the nearest center. points in jth cluster are denoted by X_j - updated_centers -> randomly initialized k centers ((k,M) matrix) - for j in [1, 2, .. k] -