Concentration Prior Type Analysis of Variation Bayesian Gaussian Mixture
  • References/Python/scikit-learn/Examples/Gaussian Mixture Models

This example plots the ellipsoids obtained from a toy dataset (mixture of three Gaussians) fitted by the Baye

2025-01-10 15:47:30
Gaussian Mixture Model Sine Curve
  • References/Python/scikit-learn/Examples/Gaussian Mixture Models

This example demonstrates the behavior of Gaussian mixture models fit on data that was not sampled from a mixture of Gaussian random variables. The dataset

2025-01-10 15:47:30
Gaussian Mixture Model Ellipsoids
  • References/Python/scikit-learn/Examples/Gaussian Mixture Models

Plot the confidence ellipsoids of a mixture of two Gaussians obtained with Expectation Maximisation (GaussianMixture class) and Variational Inference

2025-01-10 15:47:30
Density Estimation for a Gaussian mixture
  • References/Python/scikit-learn/Examples/Gaussian Mixture Models

Plot the density estimation of a mixture of two Gaussians. Data is generated from two Gaussians with different centers and covariance matrices.

2025-01-10 15:47:30
GMM covariances
  • References/Python/scikit-learn/Examples/Gaussian Mixture Models

Demonstration of several covariances types for Gaussian mixture models. See

2025-01-10 15:47:30
Gaussian Mixture Model Selection
  • References/Python/scikit-learn/Examples/Gaussian Mixture Models

This example shows that model selection can be performed with Gaussian Mixture Models using information-theoretic criteria (BIC). Model selection concerns both

2025-01-10 15:47:30