Gaussian Mixture Models (GMMs) are a type of statistical model used for clustering. They assume that the data is generated from a mixture of several Gaussian distributions with unknown parameters. Each Gaussian distribution is defined by its mean and variance, and the mixture is characterized by the proportion of each Gaussian component.