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

Pattern recognition is a scientific discipline that is becoming increasingly important in the age of automation and information handling and retrieval. Patter R

PATTERN CLASSIFICATION a unified view of statistical and neural approaches The product of years of research and practical experience in pattern classification,

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