Abstract
Statistical classification deals with rules of case assignment to categories or classes. The classification, or decision rule, is expressed in terms of a set of random variables — the case features. In order to derive the decision rule, one assumes that a training set of pre-classified cases — the data sample — is available, and can be used to determine the sought after rule applicable to new cases. The decision rule can be derived in a model-based approach, whenever a joint distribution of the independent variables can be assumed, or in a model-free approach, otherwise.
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Marques de Sá, J.P. (2003). Statistical Classification. In: Applied Statistics Using SPSS, STATISTICA and MATLAB. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-05804-6_6
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DOI: https://doi.org/10.1007/978-3-662-05804-6_6
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