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: github.com/bns...
12 сен 2024
