Iterates list of parameters and uses them to parameterize a k-means algorithm.

The flow reads a data set to be clustered (Iris data). The data file is contained in the workflow directory. The loop will use one parameter at a time, run the (parameterized) k-means algorithm, assess the clustering quality and record the values.


This is a companion discussion topic for the original entry at https://kni.me/w/_qxDjcqShaIR2UuA