In the context of high-dimensional data, "encoding" via MNF serves several critical functions:
Hyperspectral images often contain hundreds of contiguous spectral bands. MNF allows you to compress this into a handful of "eigenimages" that retain 99% of the useful information. mnf encode
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 In the context of high-dimensional data, "encoding" via