The unknown spectra is centered with the mean training spectra and after are divided by the standard deviation spectra, so we get a spectra matrix of the distances.
We can see some high distances for the samples with high difference respect to the mean (samples 1,2 and 3)
After we only have to calculate the maximum value (distance) of this matrix for every row (spectrum)
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