Abstract
Pattern recognition methods are automatic procedures for classifying observed individuals into discrete groups on the basis of a multivariate data matrix [264]. Several hundred papers published in the last ten years deal with chemical applications of pattern recognition methods. It has been shown by more than 300 authors that pattern recognition can be used for chemical classification problems for which no direct or theoretical approaches exist. However, one must confirm that only a few papers show a really impressive success or a promising utility of pattern recognition methods for important chemical problems. Many papers report about a first (or new) application in chemistry of well-known (or slightly modified) pattern recognition methods. It seems unavoidable in an interdisciplinary field that sometimes methods are improperly used. After the first years of too optimistic enthusiasm on one side and pessimistic refusal on the other side, one can notice some consolidation and peace in the last years.
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