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would the k - means algorithm still converge to a local optimum if instead of randomly assigning each item to a cluster, we instead initialized

would the k-means algorithm still converge to a local optimum if instead of randomly assigning each item to a cluster, we instead initialized the algorithm by picking K centriod vectors? why

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