Generating clusters with Gaussian distribution

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

Generating clusters with Gaussian distribution

 

Resources

EXAMPLES Server: 01_Data_Access/03_Data_Generation/01_Generating_clusters_with_Gaussian_distribution01_Data_Access/03_Data_Generation/01_Generating_clusters_with_Gaussian_distribution*
Download a zip-archive

References:

 

 


* Find more about the Examples Server here.
The link will open the workflow directly in KNIME Analytics Platform (requirements: Windows; KNIME Analytics Platform must be installed with the Installer version 3.2.0 or higher). In other cases, please use the link to a zip-archive or open the provided path manually