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How does K-Means choose the first centroids, and why do we need n_init?

Hi everyone, I’m currently learning K-Means and I’m a bit confused about the initialization part. As I understand it, K-Means starts by choosing some initial centroids, then repeatedly assigns points to the nearest centroid and recalculates the centroids until it converges. What I don’t fully under…

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  1. 2026-09-30 17:25 · r/learnmachinelearning
    How does K-Means choose the first centroids, and why do we need n_init?

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