Parameter Optimization in Spark

This workflow mixes existing KNIME nodes with the new Spark nodes to find the optimal parameters for a k-means clustering using the hillclimbing approach.

Parameter Optimization in Spark

 

Resources

EXAMPLES Server: 10_Big_Data/02_Spark_Executor/04_Parameter_Optimization_in_Spark10_Big_Data/02_Spark_Executor/04_Parameter_Optimization_in_Spark*
Download a zip-archive

 

 


* 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