About this document
Introduction to Gaussian Mixture Models by Nikita Noriya is a document available to read on EtoBox.
Gaussian mixture models are a machine learning algorithm that can classify data into different categories based on probability distributions. The EM algorithm is an iterative method used to estimate parameters for latent variable models like Gaussian mixture models. It consists of expectation and maximization steps repeated until convergence is reached.
- Author
- Nikita Noriya
- Language
- EN