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X-Means Clustering
Muhammed_Fatih_
Member Posts: 93 
Maven
in Help
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
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
Tagged:
1
Best Answer
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IngoRM
Employee-RapidMiner, RapidMiner Certified Analyst, RapidMiner Certified Expert, Community Manager, RMResearcher, Member, University Professor Posts: 1,751 
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,
Ingo5
