Due to recent updates, all users are required to create an Altair One account to login to the RapidMiner community. Click the Register button to create your account using the same email that you have previously used to login to the RapidMiner community. This will ensure that any previously created content will be synced to your Altair One account. Once you login, you will be asked to provide a username that identifies you to other Community users. Email us at Community with questions.
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
-
IngoRM Employee, RapidMiner Certified Analyst, RapidMiner Certified Expert, Community Manager, RMResearcher, Member, University Professor Posts: 1,751 RM FounderHi,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