Some pattern recognition methods are briefly discussed from the geometric point of view: classification by distance measurements to prototypes, classification by decision-planes and classification by the nearest-neighbor-method. The last two methods give good results with regard to the automatic determination of molecular structures from low resolution mass spectra. It is emphasized, that pattern recognition methods may be useful for interpreting various types of data pools in physical and analytical chemistry.
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