Expectation Maximization Clustering Using GMM In Unsupervised Machine Learning Training Ppt
This slide showcases that Expectation-Maximization Clustering using GMM algorithm can be used as a replacement for the k-means algorithm or in situations when the k-means algorithm fails. The data points in GMM are supposed to be Gaussian distributed.
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