Machine Learning
K-Means Clustering
Machine Learning· Intermediate
Definition
An unsupervised learning algorithm that partitions data into K groups by iteratively assigning each point to the nearest cluster centroid and recomputing centroids until convergence. Simple, scalable, and effective for many exploratory data analysis tasks.
Enterprise Context
Applied in customer segmentation, document clustering, anomaly detection, and market basket analysis across enterprise analytics teams.
Tags
#unsupervised#clustering#foundational
MS
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