Computer Manual in MATLAB to accompany Pattern Classification

DAVID G. STORK, PhD, is Chief Scientist at Ricoh Innovations, Inc., and Consulting Professor of Electrical Engineering at Stanford University. A graduate of MIT and the University of Maryland, he is the founder and leader of the Open Mind Initiative and the coauthor, with Richard Duda and Peter Hart, of Pattern Classification, Second Edition, as well as four other books. ELAD YOM-TOV, PhD, is a research scientist at IBM Research Lab in Haifa, working on the applications of machine learning to search technologies, bioinformatics, and hardware verification (among others). He is a graduate of Tel-Aviv University and the Technion.

Preface. Chapter 1. Introduction to MATLAB.

Basic Navigation and Interaction.

Scalars, Variables and Basic Arithmetic.

Relational and Logical Operators.

Lists, Vectors and Matrices.

Matrix Multiplication.

Vector and Matrix Norms.

Determinants, Inverses and Pseudoinverses.

Matrix Powers and Exponentials.

Eigenvalues and Eigenvectors.

Data Analysis.

Clearing Variables and Functions.

Data Types.

Chapter 2. Programming in MATLAB.

Scripts.

Functions.

Flow Control.

User Input.

Debugging.

Data, and File Input and Output.

Strings.

Operations on Strings.

Chapter 3. Classification Toolbox.

Loading the Toolbox and Starting MATLAB.

Graphical User Interface.

Introductory Examples.

GUI Controls.

Creating Your Own Data Files.

Classifying Using the Text-based Interface.

Classifier Comparisons.

How to Add New Algorithms.

Adding a New Feature Selection Algorithm.

List of Functions.

Appendix: Program Descriptions.

References.

Index.