[scikit-learn] How to determine suitable cluster algo
matti.v.viljamaa at gmail.com
Fri Jan 25 06:43:35 EST 2019
For determining what one can afford computaionally, see e.g.:
Lähetetty Windows 10:n Sähköpostista
Lähetetty: Friday, 25 January 2019 3.42
Vastaanottaja: Scikit-learn mailing list
Aihe: 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?
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