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This document provides an overview of probabilistic modelling and machine learning techniques using the pmtk toolbox in Matlab. It introduces k-means clustering and Gaussian mixture models (GMMs). Exercises are provided to demonstrate k-means clustering on yeast gene expression data and the Old Faithful dataset. GMMs are trained on the Old Faithful data using expectation-maximization. Finally, a GMM classifier is created to classify samples from the Old Faithful dataset into two classes based on eruption ti

Author

TharmanSiva

Language

EN