Brief Table of Contents
Chapter 2. Classifiers Based on Bayes Decision Theory
Chapter 4. Nonlinear Classifiers
Chapter 6. Feature Generation I: Data Transformation and Dimensionality Reduction
Chapter 7. Feature Generation II
Chapter 9. Context-Dependent Classification
Chapter 10. Supervised Learning: The Epilogue
Chapter 11. Clustering: Basic Concepts
Chapter 12. Clustering Algorithms I: Sequential Algorithms
Chapter 13. Clustering Algorithms II: Hierarchical Algorithms
Chapter 14. Clustering Algorithms III: Schemes Based on Function Optimization
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