Statistical Classification

Joaquim P. Marques de Sá ()
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Joaquim P. Marques de Sá: Universidade do Porto, Faculdade de Engenharia

Chapter 6 in Applied Statistics Using SPSS, STATISTICA and MATLAB, 2003, pp 191-235 from Springer

Abstract: 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.

Keywords: Feature Vector; Statistical Classification; Decision Function; Bayesian Classification; Cork Stopper (search for similar items in EconPapers)
Date: 2003
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DOI: 10.1007/978-3-662-05804-6_6

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