Implement the Kmeans (clustering) algorithm with a random datapoint and obtain an output with a number K of clusters with their centroids.
Examples:
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Implement the Kmeans (clustering) algorithm with a random datapoint and obtain an output with a number K of clusters with their centroids.
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