What are some of the similarities between Expectation
Maximization and K-mean aside form both being clustering
methods.
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What are some of the similarities between ExpectationMaximization and K-mean aside form both being clusteringmethods.
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K means clustering Kmeans clustering is probably one of the first unsupervised learning algorithms that most people encounter when they begin a machine learning course It is easy to use and intuitive However if we indulge in the probabilistic theory behind Kmeans it becomes apparent
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