Abstract
Many different methods for tackling binary variable pattern recognition problems have been proposed. The differences arise from the particular special needs of the individual problems as well as the background and orientation of the authors presenting the methods. This paper summarises these methods, beginning with the basic multinomial method and showing how other methods can be seen as different ways of tackling the shortcomings of the basic method by imposing different types of dependence structure on the data. The various merits and demerits of the methods are pointed out in the hope that this will aid in choice of method.
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© 1982 D. Reidel Publishing Company
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Hand, D.J. (1982). Statistical Pattern Recognition of Binary Variables. In: Kittler, J., Fu, K.S., Pau, LF. (eds) Pattern Recognition Theory and Applications. NATO Advanced Study Institutes Series, vol 81. Springer, Dordrecht. https://doi.org/10.1007/978-94-009-7772-3_2
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DOI: https://doi.org/10.1007/978-94-009-7772-3_2
Publisher Name: Springer, Dordrecht
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