One of the examples of unsupervised learning is clustering, where K-means is an iterative clustering algorithm that aims
Posted: Fri Jul 01, 2022 5:33 am
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.
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.