Gaussian Mixture Models

Gaussian Mixture Models (GMMs) are statistical tools that assume data is generated from a combination of several underlying groups, each shaped like a bell curve (Gaussian distribution). Imagine you have a set of data points, like heights of people, and they naturally cluster into different groups (e.g., children, adults, seniors). GMMs identify these groups by estimating their centers and spreads, allowing for overlapping clusters. This approach helps in understanding complex data structures, recognizing patterns, and classifying data points based on the probabilities of belonging to each group.