The number of rounds for convergence in k means clustering can be lage
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yup...the number of rounds of convergence in k mass clustering can be lage
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Yes, the number of rounds for convergence in k means clustering can be large.
Algorithm repeats again and again till the two match will not be correct. Algorithm converged till the assignment not change. The dataset are different in many clusters. This algorithm will definitely change. Change will be in clusters.
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