X-Means Clustering
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
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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
Ingo
Ingo