Pattern Recognition, 2/e
暫譯: 模式識別，第二版

Table of Contents

Intro;

Classifiers Based on Bayes Decision Theory;

Support Vector machines (linear case);

Support Vector Machines(nonlinear case);

Decision trees; Linear Classifiers;

Non Linear Classifiers;

Deformable Template Matching;

Feature Selection;

Feature Generation I: Linear Transforms;

Feature Generation II. Template Matching;

Context Dependent Classification;

System Evaluation Clustering: BasicConcepts;

Clustering Algorithms I: Sequential Algorithms;

Clustering Algorithms II: Hierarchical Algorithms;

Clustering Algorithms III: Schemes Based on Function Optimization;

Clustering Algorithms IV.

Cluster Validity;

Appendices.