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Is there a way to fix the random seed used within the kmeans algorithm with reproducible clustering?

TAE
Engager

In my new dashboard, I use the Kmeans algorithm twice.  The clustering is different in each case, is there a way to fix the random seed used within the algorithm?  I want to fix the random nature of the algorithm so that I get repeatable clustering.  

 

Thank you

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TAE
Engager

Sorry Everyone,

I solved the problem by "reading."  The docs say:

Each clustering may be slightly different, unless you specify the random_state parameter.

So, I used the parameter and sure enough, it worked.

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