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.
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.