DescriptionThe author has written an accessible book presenting the central issues and placing particular emphasis on comparison, performance assessment and how to match method to application. He reviews the different approaches and guides researchers (and the huge class of users and potential users) to suitable classes of techniques. He points the way to more detailed study in "further reading" sections in each chapter.
Fisher's LDA and Other Methods Based on Covariance Matrices.
Recursive Partitioning Methods.
Nonparametric Smoothing Methods.
Aspects of Evaluation.
Evaluating Two- Class Rules.
Some Special Problems.
Some Illustrative Applications.
Links and Comparisons Between Methods.
"...an accessible book..." (Zentralblatt Math, Vol. 997, No.22, 2002)