Common clustering techniques include k-means, Gaussian mixture model, density-based and spectral. This article explains how to implement Gaussian mixture model (GMM) clustering from scratch using the ...

This paper is concerned with an important issue in finite mixture modeling, the selection of the number of mixing components. A new penalized likelihood method is proposed for finite multi variate ...

GMM s can capture nearly any continuous probability distribution using a mixture of Gaussian distributions. The process is gradual. The model starts by identifying the densest part of the probability ...