Generating Gaussian Clusters

In this workflow, each cluster is based on three Gaussian distributed values, which form the final cluster. The workflow demonstrates how the data generation nodes can be used in combination to generate a complex dataset. First each data point is assigned a cluster. Next, for each cluster three dimensions are generated based on a Guassian distribution. Finally the stresser node is used to add some random noise.

This is a companion discussion topic for the original entry at