One of the examples of unsupervised learning is clustering,where K-means is an iterative clustering algorithm that aims toassign data points into K groups, and K represents the number ofclusters. Answer following questions related to K-meansalgorithm,
i. State a method that is commonly used to choose the number ofclusters, K.
ii. Explain the steps of the algorithm and state the stoppingcriteria.
One of the examples of unsupervised learning is clustering, where K-means is an iterative clustering algorithm that aims
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