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Extension of the K-means clustering algorithm that automatically determines the optimal number of clusters in a dataset. Unlike K-means, which requires specifying the number of clusters beforehand, X-means uses criteria such as the Bayesian Information Criterion to automatically determine the optimal number of clusters during the clustering process.

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