52 What is GMM and how to use it for Image segmentation











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Gaussian mixture model (GMM) is a type of clustering algorithm that falls under the umbrella of unsupervised machine learning techniques. As the name indicates, GMM models each cluster to a Gaussian distribution with specific mean and variance. It follows the expectation maximization algorithm principles to find the required parameters to model different Gaussians. • This tutorial explains the basics of GMM and also goes through the process of writing few lines of code to segment a microscope image. • The code from this video is available at: https://github.com/bnsreenu/python_fo...

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