Chapter 1: Introduction -- Chapter 2: Classifiers Based on Bayes Decision Theory -- Chapter 3: Linear Classifiers -- Chapter 4: Nonlinear Classifiers -- Chapter 5: Feature Selection -- Chapter 6: Feature Generation I -- Chapter 7: Feature Generation II -- Chapter 8: Template Matching -- Chapter 9: Context-Dependant Classification -- Chapter 10: System Evaluation -- Chapter 11: Clustering: Basic Concepts -- Chapter 12: Clustering Algorithms I (Sequential) -- Chapter 13: Clustering Algorithms II (Hierarchical) -- Chapter 14: Clustering Algorithms III (Functional Optimization) -- Chapter 15: Clustering Algorithms IV (Graph Theory) -- Chapter 16: Cluster Validity.