Gaussian Mixture Models

Each 'state' represents a gassian curve with variables.

Training the model involves changing the curve parameters to match some underlying cluster of features.

Input features are compared to each curve and the best matching curve is chosen as the "state" that matches the input.

?? Possibly you then treat it as a markov model but the states are represented by the curves and have transitions between one another.

• Serrano Academy Video