I am looking for a way to cluster data. With the tools I am using, I cannot directly find the right number of k, so the data is put into the number of clusters I have set k to.
Is there any way/tool I can find the right number of clusters without knowing it beforehand?
And what kind of function should I use to check the result? / to check the robustness?
I have read that the X-means cluster attribute should help to find the right number of clusters.
I see a display on the right-hand side that makes an "assumption", but in my case this is incorrect and does not match the data set.
Surely there must be an iterative/mathematical function that solves this problem?
To clarify once again, the number of clusters into which my data set is clustered after the analysis is kmin. I am looking for an automatic method to find the right number of k.
Maybe my selection of attributes is wrong?
Thanks to everyone for the help. I appreciate it very much!
P.S Perhaps k means is also not the right choice?
Any help is very much appreciated!! 😊