Glossary.

A brief explanation of technical terms used in the analysis

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Gaussian Mixture Model (GMM)

GMM is used to distinguish the subpopulations of a bigger set. GMM assumes that the data points were generated from a mixture of Gaussian distributions with unknown parameters which are approximated using Expectation-Maximisation (EM) algorithm.

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