Introduction to Pattern Recognition: A MATLAB Approach

Written as an accompanying manual to Pattern Recognition, 4e, this book provides self-contained MATLAB code files for the most common methods and algorithms in pattern recognition. The book provides descriptive summaries of the related techniques and algorithms and many solved examples. Topics covered include Bayesian decision theory, cost function optimization, and feature generation and dimensionality reduction.

MATLAB is used throughout the book to solve numerous application examples.