Pattern analysis

Since version 8.1

Pattern analysis helps you understand how a target variable's states differ from each other.

An example is trying to understand the different clusters (latent states) in a cluster model (mixture model). This tool will help you understand each cluster.

Auto insight summary

The auto-insight summary tab, provides discrimination information between a discrete or continuous target state and the other states of the same variable.

The image below, demonstrates the tool on the 'Simpson's Paradox' example network included with Bayes Server. It clearly shows that 'Department' is the key discriminator of 'Admittance'.

Pattern analysis