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.

External resources

• Classification of the iris data using kNN
• KNIME Forum (13070) - optimal KNN clusters