Mixture model

This example is a simple Gaussian mixture model represented as a Bayesian network. It was learned on the well known Iris data set (R.A. Fisher 1936) often used in Machine learning.

This hybrid model containing both discrete and continuous variables features both a Latent variable and a Multi-variable node.

This site is now deprecated. For online Bayesian networks, please see the Bayes Server Online App or for offline software please download the Desktop version.