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Which model should I use?

By LI | Apr 01, 2016 04:00PM CEST

I have a set of data which contains samples each with aprox. 15 variables. I want to group /differentiate the samples, which model will be the best to solve this problem? I have tried PCA, Factor analysis, and K means cluster. But so far none of them gave a good factor value. Another question is I would like to build a model to group the samples based on these data, then I will be be able to pin point my future data into a group. I have this idea, but there is no clue how to proceed. Thanks,

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By Efthalia | Apr 01, 2016 04:55PM CEST | XLSTAT Agent

Dear Li,

If you wish to group your samples based on a set of variables, then you should try one of the XLSTAT clustering methods.
In order to choose the most appropriate one according to the type of your data, I suggest you to have a look at this guide:
https://help.xlstat.com/customer/en/portal/articles/2062432-which-clustering-method-should-you-choose-?b_id=9202

Regards,
Thalia

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