Data Science, Machine Learning, Programming, Data Analysis, K Means Clustering.
updated_center[j] = mean(X_j) - if distance(updated_centers, centers) is small - exit - else - centers = updated_centers - continue Python Implementation Naive K-Means Python implementation.Original code. Things to know before using KMeans Most ML models have assumptions about the data they fit on.