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X-Means Clustering

Muhammed_Fatih_Muhammed_Fatih_ Member Posts: 26 Contributor II
Hello community, 

can someone explain how X-means clustering generally works in Rapidminer? I have a problem where the number of clusters k is not known so that I have to determine or rather optimise the number of clusters before going further to the interpretation of the clustering structure.

Is X-means the appropriate Clustering option? Are there alternatives with regard to the optimisation of k?  

I thank you in advance for your help! 

Best regards, 

Fatih 
Jasmine_

Answers

  • IngoRMIngoRM Administrator, Moderator, Employee, RapidMiner Certified Analyst, RapidMiner Certified Expert, Community Manager, RMResearcher, Member, University Professor Posts: 1,715  RM Founder
    Hi,
    Yes, x-Means finds a good k.  Another approach is to create a graph of a cluster criterion vs. k and looking for the so-called "elbow".  If you search the community for "elbow" you should find some examples.  AutoModel's x-Means also could be helpful for you.
    Cheers,
    Ingo
    RapidMiner Wisdom 2020
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