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| Preface | |
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| Classifiers Based on Bayes Decision Theory | |
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| Introduction | |
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| Bayes Decision Theory | |
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| The Gaussian Probability Density Function | |
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| Minimum Distance Classifiers | |
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| The Euclidean Distance Classifier | |
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| The Mahalanobis Distance Classifier | |
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| Maximum Likelihood Parameter Estimation of Gaussian pdfs | |
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| Mixture Models | |
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| The Expectation-Maximization Algorithm | |
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| Parzen Windows | |
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| k-Nearest Neighbor Density Estimation | |
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| The Naive Bayes Classifier | |
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| The Nearest Neighbor Rule | |
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| Classifiers Based on Cost Function Optimization | |
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| Introduction | |
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| The Perceptron Algorithm | |
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| The Online Form of the Perceptron Algorithm | |
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| The Sum of Error Squares Classifier | |
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| The Multiclass LS Classifier | |
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| Support Vector Machines: The Linear Case | |
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| Multiclass Generalizations | |
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| SVM: The Nonlinear Case | |
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| The Kernel Perceptron Algorithm | |
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| The AdaBoost Algorithm | |
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| Multilayer Perceptrons | |
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| Data Transformation: Feature Generation and Dimensionality Reduction | |
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| Introduction | |
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| Principal Component Analysis | |
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| The Singular Value Decomposition Method | |
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| Fisher's Linear Discriminant Analysis | |
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| The Kernel PCA | |
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| Laplacian Eigenmap | |
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| Feature Selection | |
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| Introduction | |
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| Outlier Removal | |
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| Data Normalization | |
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| Hypothesis Testing: The t-Test | |
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| The Receiver Operating Characteristic Curve | |
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| Fisher's Discriminant Ratio | |
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| Class Separability Measures | |
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| Divergence | |
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| Bhattacharyya Distance and Chernoff Bound | |
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| Measures Based on Scatter Matrices | |
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| Feature Subset Selection | |
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| Scalar Feature Selection | |
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| Feature Vector Selection | |
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| Template Matching | |
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| Introduction | |
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| The Edit Distance | |
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| Matching Sequences of Real Numbers | |
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| Dynamic Time Warping in Speech Recognition | |
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| Hidden Markov Models | |
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| Introduction | |
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| Modeling | |
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| Recognition and Training | |
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| Clustering | |
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| Introduction | |
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| Basic Concepts and Definitions | |
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| Clustering Algorithms | |
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| Sequential Algorithms | |
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| BSAS Algorithm | |
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| Clustering Refinement | |
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| Cost Function Optimization Clustering Algorithms | |
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| Hard Clustering Algorithms | |
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| Nonhard Clustering Algorithms | |
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| Miscellaneous Clustering Algorithms | |
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| Hierarchical Clustering Algorithms | |
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| Generalized Agglomerative Scheme | |
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| Specific Agglomerative Clustering Algorithms | |
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| Choosing the Best Clustering | |
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| Appendix | |
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| References | |
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| Index | |