# Clustering k-means

Hello everyone,

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!! 😊

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## Answers

3,483RM Data ScientistDortmund, Germany