Scorer for clustering results given a reference clustering. Connect the Spark DataFrame/RDD containing a column with the reference cluster IDs as well as a column containing the clustering results to the input port. The respective columns can be selected in the dialog. After successful execution, the view will show entropy values (the smaller the better) and a quality value (in [0,1] - with 1 being the best possible value, as used in Fuzzy Clustering in Parallel Universes , section 6: "Experimental results").
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