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Normalization (training) with clustering (group model) does not work as expected

amitdeokaramitdeokar Member, University Professor Posts: 20  Maven
edited July 2019 in Help
Using a Normalization operator alongside k-Means operator to create a group model within a Cross-Validation or Split-Validation does not work because the Performance (Cluster Distance Performance) operator expects a CentroidClusterModel but instead received a GroupedModel. It seems that the Performance (Cluster Distance Performance) operator needs to be updated to accommodate a grouped model.
A simple example using the Iris dataset in the RapidMiner Samples directory is attached showing the issue.

Best Answers


  • amitdeokaramitdeokar Member, University Professor Posts: 20  Maven
    Thanks for these ideas. They are very useful.
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