The sum of Gaussians (GMM) is a probability density function that is obtained by summing multiple Gaussian distributions. It is a powerful tool for modeling complex probability distributions, as it can capture multimodal or non-Gaussian distributions that are common in real-world data. GMMs are widely used in various applications such as clustering, image processing, and time series analysis.
