Chapter 7 NONPARAMETRIC CLASSIFICATION AND ERROR ESTIMATION

Abstract

After studying the nonparametric density estimates in Chapter 6, we are now ready to discuss the problem of how to design nonparumetric clussifiers and estimate their classification errors. A nonparametric classifier does not rely on any assumption concerning the structure of the underlying density function. Therefore, the classifier becomes the Bayes… (More)

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