Abstract
Pattern recognition methods, i.e. the methods concentrating on the possibility of assigning an object to a class based on the result of a set of measurements are ubiquitous in chemometrics. In this paper, the main chemometric classification methods are discussed in terms of their nature, behavior, advantages and drawbacks. Both parametric and non parametric or discriminant and modeling techniques are illustrated together with a discussion of some applications to real world problems.
Keywords: Pattern recognition, Classification, Chemometrics, Discriminant analysis, Class modeling
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