Feature vectors Euclidean

Fig. 2. Distance between two binary-valued feature vectors vA and vB is not given by the Euclidean distance but the Hamming distance between the two.

In the case of a full spectra search, the complete set of spectral features (absorbance values at p wavelength positions) is compared between the spectrum of the unknown and aU spectra contained in the data bank. So-called similarity measures are computed for each individual comparison. In the case of the mostly employed similarity measure, the Euclidean distance, the spectram is regarded as a p-dimen-sional spectral vector (data points at p wavelength positions). The comparison... 

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