Automatic data pre-processing opportunity

[arasmus]

For linear system, optimal dimensionality calculation gave 1 for MNIST dataset. Applying an 1 dimensional system to this would pull the dataset closer to origin. Doing the optimal dim calculation again for the concatenated (ubar, xbar) input, we would find a new, higher n for the new system. Repeating this could potentially be used for automatic data preprocessing.

Moreover, after implementing dynamic dimensionality reconfiguration (#1), it could be done even faster.