: Users can perform a forward MNF transform, discard the lower-quality "noise bands," and perform an inverse transform to produce a "cleaned" version of the original dataset. Dimensionality Reduction
Cleaned MNF components provide a more stable foundation for machine learning models, as they eliminate the "noise floor" that can confuse training algorithms. MNF in Machine Learning Pipelines mnf encode
Here is a Python example implementation of MNF encoding and decoding: : Users can perform a forward MNF transform,