An Animated Guide to KMeans

The post provides an animated guide to understanding the KMeans clustering algorithm, explaining data point assignment, centroid reassignment, and algorithm convergence. It highlights steps involved in KMeans, including the random selection of centroids, and offers insights into building intuition around the algorithm's operation.