Looking for optimal k in KMedoids using the Cluster Distance Performance operator
which is supposed to produce the DaviesBouldin index for k in KMedoids.
Result Centroid table
Result Annotations
AutoModel Results kmeanssummary. Kmedoids is not a model choice.
What am I missing here looking for the DaviesBouldin 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 DaviesBouldin method.
Result Folder view
Result Centroid table
Result Annotations
AutoModel Results kmeanssummary. Kmedoids is not a model choice.
What am I missing here looking for the DaviesBouldin method?
0
Best Answers

tonyboy9 Member Posts: 110 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 DaviesBoudin 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, DaviesBouldin is the choice in the left bar.
And here you have it, DaviesBouldin. 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