PATTERN RECOGNITION

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PATTERN RECOGNITION
SECOND EDITION
SERGIOS THEODORIDIS,
KONSTANTINOS KOUTROUMBAS

Table of Contents 

1  Introduction

2  CLASSIFIERS BASED ON BAYES DECISION THEORY

3  LINEAR CLASSIFIERS

4  NONLINEAR CLASSIFIERS

5  FEATURE SELECTION

6  FEATURE GENERATION I: LINEAR TRANSFORMS

7  FEATURE GENERATION I1

8  TEMPLATE MATCHING
   
9  CONTEXT-DEPENDENT CLASSIFICATION

10 SYSTEM EVALUATION

11 CLUSTERING: BASIC CONCEPTS

12  CLUSTERING ALGORITHMS I: SEQUENTIAL ALGORITHMS

13 CLUSTERING ALGORITHMS 11: HIERARCHICAL ALGORITHMS

14 CLUSTERING ALGORITHMS 111: SCHEMES BASED ON FUNCTION OPTIMIZATION

15 CLUSTERING ALGORITHMS IV

16 CLUSTER VALIDITY

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