Gaussian Mixture Models: Theory and Implementation of GMM and EM Algorithm

Gaussian Mixture Models: Theory and Implementation of GMM and EM Algorithm

Source: DeepHub IMBA This article is about 6000 words long and is recommended to be read in 10+ minutes. This article will first explore mixture models, focusing on Gaussian mixture models and their fundamental principles. Gaussian Mixture Model (GMM) is a statistical model that represents data as a mixture of Gaussian (normal) distributions. These models … Read more