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

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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.
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