Can I use Uncertainpy to interpret results in a cluster analysis? about uncertainpy HOT 2 CLOSED

Hi,

I am not certain that I have understood your problem 100% correctly, so please correct me if I am wrong.

Uncertainpy is tailored to perform uncertainty quantification and sensitivity analysis of a model, and specific features of the model output. As such, the features you are interested in are different from the features I refer to in Uncertainpy. The features you examine sounds like the parameter you want to know the sensitivity for.

Replacing the Sobol analysis by the delta analysis would unfortunately not be a trivial task, but, from a cursory glance, I think it might be done. However, it would likely be easier to use the delta method from SALib directly, as you probably do not need much of what Uncertainpy is specialized towards.

from uncertainpy.

Hi @simetenn

Thanks for the clarification on how Uncertainpy works. I will use SALib, as I need to find out to what inputs the clustering output is more sensitive to.

Ivan

from uncertainpy.