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Tables of Contents for Pattern Classification
Chapter/Section Title
Page #
Page Count
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.