Re: [scikit-learn] How to determine suitable cluster algo

Maybe the suitable way is try-and-error? What I'm interesting is that my datasets is very huge and I can't try number of cluster from 1 to N if I have N samples That cost too much time for me. Maybe I should define the initial number of cluster based on execution time? Then analyze the next step is increase/decrease the number of cluster? thx