[D] Choosing number of components for Nonnegative Matrix Factorization

I have several estimates of undirected weighted networks, i.e. weighted adjacency matrices. I use NMF to identify subnetworks / components. I understand that there are several ways to come up with the number of components to use, from simple means such as a knee-plot to more sophisticated approaches such as [cross-validation with randomly removed datapoints](https://alexhwilliams.info/itsneuronalblog/2018/02/26/crossval/). I have applied several methods to my set of networks and they suggest to use 5-8 components. I have an *a priori* idea of what …

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