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Explore the world of Machine Learning with this visual guide to K-Means Clustering! This animation demonstrates how the K-Means algorithm works by iteratively moving centroids (k=3) to find the most optimal clusters within a dataset. Watch how the WCSS (Within-Cluster Sum of Squares) and Average Silhouette score change as the algorithm ...
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