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R Data Analysis Cookbook - Second Edition by Kuntal Ganguly

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Model-based clustering with the EM algorithm

Model-based clustering techniques assume varieties of data models and apply an expectation maximization (EM) algorithm to obtain the most likely model, and then use that model to infer the most likely number of clusters. In this example, we will illustrate how to use the model-based technique to determine the most likely number of clusters.

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