Loop Cluster - exclude examples

aarapidiaarapidi Member Posts: 2 Contributor I
edited November 2018 in Help
I have used Rapidminer to create many files with clusters. Therefore, my data file has many examples with a set of numeric attributes, a label, and a special attribute - cluster attribute. Next, I am trying to use (Loop Clusters) process to run classification models within validation process which is primarily working for the data files I have. However, some data files have clusters with one or 2 examples or observations; therefore an error is generated whenever the  loop reaches any of the clusters with small number of examples. My question is how can I exclude clusters with low number of examples in the Loop Clusters process.


  • David_ADavid_A Administrator, Moderator, Employee, RMResearcher, Member Posts: 297 RM Research

    you can extract the size of your cluster subset with the Extract Macro operator and the option "number of examples", next you use a branch operator, set as condition that the number of examples has to be greater two, and perform your model building in the Then-branch. The Else-branch can return an empty example set or some dummy data, whatever fits best.

  • aarapidiaarapidi Member Posts: 2 Contributor I
    Thank you!
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