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Answers
unfortunately we did not manage to create them until now.
If you have a special question about one parameter, feel free to ask
Greetings,
Sebastian
Thank you for your reply
I am interested in clustering validation and performance measures
for example
I like to run various experiments on text data using different clustering algorithm and compare the results based on for example
Recall, percesion and cluster purity , I already know the categories ahead (supervised clustering )
I have the CVS rapidminer
Thank you
then you could use the Operator Cluster2Prediction. It will match a clustername of an existing cluster attribute with a classname in an existing label attribute, so that the global matching is optimal.
Then the usual performance operators might be used.
Greetings,
Sebastian
i have the latest CVS
there is no such operator called cluster2prediction
Thank you
did you check out the developer branch "Zaniah"?
Greetings,
Sebastian