The first edition, published in 1973, has become a classicreference in the field. Now with the second edition, readers willfind information on key new topics su

The use of pattern recognition and classification is fundamental to many of the automated electronic systems in use today. However, despite the existence of a n

This is the first textbook on pattern recognition to present the Bayesian viewpoint. The book presents approximate inference algorithms that permit fast approxi

This completely revised second edition presents an introduction to statistical pattern recognition. Pattern recognition in general covers a wide range of proble

1. Introduction to pattern classification. 1.1. Pattern classification. 1.2. Induction algorithms. 1.3. Rule induction. 1.4. Decision trees. 1.5. Bayesian metho