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01_​Loop_​over_​a_​set_​of_​parameter_​for_​k_​means

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.

Iteration over K to determine a different number of clusters this workflow clusters the data with different numbers of clusters. Inside themeta node different k are evaluated for k means and their entropy scorer canbe achieved at the outport of the meta node. AggregateIris datak (2-9)One row at a timeAssess QualityExtract QualityAppend ParameterNode 12 Loop End Table Reader Table Creator Table Row ToVariable Loop Start Entropy Scorer Row Filter Variable toTable Column k-Means Iteration over K to determine a different number of clusters this workflow clusters the data with different numbers of clusters. Inside themeta node different k are evaluated for k means and their entropy scorer canbe achieved at the outport of the meta node. AggregateIris datak (2-9)One row at a timeAssess QualityExtract QualityAppend ParameterNode 12 Loop End Table Reader Table Creator Table Row ToVariable Loop Start Entropy Scorer Row Filter Variable toTable Column k-Means

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