k-means clustering
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Explore more → What is k-means clustering?
K-means clustering is an unsupervised machine learning algorithm used to partition n data points into k clusters, where each data point belongs to the cluster with the nearest mean (centroid). It is commonly used for data analysis, customer segmentation, and anomaly detection.
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