I have a matrix of samples to classify, samples are matrix columns and features (noisy or estimated features) are matrix rows. On the other hand, I have a lookup table for correspondence between noisless (or theoritical values of) features and classes.
Classification process is very simple: for each sample, corresponding class is that which the features (from lookup table) are the closest to those of the sample.
It seems to be an unsupervised classification, can you confirm ? May it be semi-supervised ?