Entropy Scorer

Scorer for clustering results given a reference clustering. Connect the table containing the reference clustering to the first input port (the table should contain a column with the cluster IDs) and the table with the clustering results to the second input port (it should also contain a column with some cluster IDs). Select the respective columns in both tables from the dialog. After successful execution, the view will show entropy values (the smaller the better) and some quality value (in [0,1] - with 1 being the best possible value, as used in Fuzzy Clustering in Parallel Universes , section 6: "Experimental results").

Input ports

1. Type: Table
   Reference clustering
   Table containing reference clustering.
2. Type: Table
   Clustering to score
   Table containing clustering (to score).

Output ports

1. Type: Table
   Quality Table
   Table containing entropy values for each cluster. The last row contains statistics on the entire clustering. It corresponds to the table show in the Statistics View.