Fukunaga (1990) Introduction to Statistical Pattern Recognition. 2nd Edition, Academic Press, New York.

has been cited by the following article:

• TITLE: Statistical Classification Using the Maximum Function

  AUTHORS: T. Pham-Gia, Nguyen D. Nhat, Nguyen V. Phong

  KEYWORDS: Maximum, Discriminant Function, Pattern Classification, Normal Distribution, Bayes Error, L1-Norm, Linear, Quadratic, Space Curves

  JOURNAL NAME: Open Journal of Statistics, Vol.5 No.7, December 17, 2015

  ABSTRACT: The maximum of k numerical functions defined on , , by , is used here in Statistical classification. Previously, it has been used in Statistical Discrimination [1] and in Clustering [2]. We present first some theoretical results on this function, and then its application in classification using a computer program we have developed. This approach leads to clear decisions, even in cases where the extension to several classes of Fisher’s linear discriminant function fails to be effective.