Construction and Assessment of Classification Rules

Overview

The 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.

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Overview

The 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.

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Editorial Reviews

From the Publisher
"Evaluation rules are handled and the most important methods to calculate misclassification rates are presented." (Monatshefte fur Mathematik, Vol. 127, No. 2, 1999)

"...an accessible book..." (Zentralblatt Math, Vol. 997, No.22, 2002)

Monatshefte fur Mathematik
Evaluation rules are handled and the most important methods to calculate misclassification rates are presented.
Monatshefte fur Mathematik
Evaluation rules are handled and the most important methods to calculate misclassification rates are presented.
Booknews
Briefly presents the major issues of classification and allocation in the field of statistics. Treats Fisher's linear discriminant analysis; nonlinear, recursive partitioning, and nonparametric smoothing methods of rule construction; aspects of rule evaluation including misclassification rates and two- class rules; and practical issues such as combining classifiers, high dimensional allocation rules, automated chromosome classification, sequential methods, and empirical studies of classification rules. Annotation c. by Book News, Inc., Portland, Or.
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Product Details

Table of Contents

BASIC IDEAS.

Introduction.

CONSTRUCTING RULES.

Fisher's LDA and Other Methods Based on Covariance Matrices.

Nonlinear Methods.

Recursive Partitioning Methods.

Nonparametric Smoothing Methods.

EVALUATING RULES.

Aspects of Evaluation.

Misclassification Rate.

Evaluating Two- Class Rules.

PRACTICAL ISSUES.

Some Special Problems.

Some Illustrative Applications.

Links and Comparisons Between Methods.

References.

Index.

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