K-Means Clustering
K-Means
A popular unsupervised machine learning algorithm used to partition data points into *k* distinct clusters. It iteratively assigns each point to the nearest cluster centroid (mean), and then recalculates the centroids based on the new assignments, until convergence is reached. Primarily used for exploratory data analysis and customer segmentation.
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