shows the low-dimensional projections for the three fibers training the PCA on the total dataset (Figure ), only on fiber (2) (Figure ) (which is the fiber presenting the largest structural variability) and on the single fibers separately. One can see how training the model in the system with the higher degree of disorder can be enough to learn how to embed different (possibly more ordered) systems not seen during the training stage.