Gaussian mixture model

A Gaussian Mixture Model (GMM) is a statistical method that represents complex data as a combination of several simpler, bell-shaped distributions called Gaussians. Imagine trying to understand a diverse set of points; instead of forcing all into one shape, GMM finds multiple groupings, each fitting a Gaussian curve. This helps identify different underlying patterns or clusters within the data. It's often used in fields like image recognition or speech processing to uncover structure in messy or overlapping information without predefined labels.