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Looking for optimal k in K-Medoids using the Cluster Distance Performance operator
which is supposed to produce the Davies-Bouldin index for k in K-Medoids.
Result Centroid table
Result Annotations
AutoModel Results k-means-summary. K-medoids is not a model choice.
What am I missing here looking for the Davies-Bouldin method?
https://docs.rapidminer.com/9.1/studio/operators/validation/performance/segmentation/cluster_distance_performance.html
Used the Tutorial to try to duplicate the process. My results in sequence are:
1 Process looking for k produced by the Davies-Bouldin method.
Result Folder view
Result Centroid table
Result Annotations
AutoModel Results k-means-summary. K-medoids is not a model choice.
What am I missing here looking for the Davies-Bouldin method?
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Best Answers
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tonyboy9 Member Posts: 113 Contributor II
Many thanks to ceaperez for suggesting I try the Cluster Distance Performance Operator.
I used the steps in the tutorial.
This was my first clue Davies-Boudin could be found.
I used the tutorial to set up the process in RapidMiner Studio.
After I ran the above process, on Cluster Model I clicked on PerformanceVector.
On this result, Davies-Bouldin is the choice in the left bar.
And here you have it, Davies-Bouldin. It's only a start, now that I understand how to play with the k parameter inside the operator.
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Answers
Maybe this thread could help you understand and find that optimal number.
https://community.rapidminer.com/discussion/comment/61654#Comment_61654