How does Mini-Batch K-Means improve scalability?

Updated May 16, 2026

Short answer

Mini-Batch K-Means updates centroids using small random subsets of data instead of full dataset passes.

Deep explanation

Instead of computing distances over all data points, Mini-Batch K-Means uses stochastic updates. This reduces computation significantly while approximating standard K-Means results.

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