Introduction to Pattern Recognition: A Matlab Approach

Index

A

Activation function, 31

AdaBoost algorithm, 63

Agglomerat ive clustering algorithms, 200

Area under the receiv er operating curve

(AUC), 113

B

Bhattacharyya distance, 119

Baum-Welch method, 148

Bayesian classifiers, 1

Best path method, 148

Basic Sequential Algorithmic Scheme

(BSAS), 161

C

Chernoff bound, 120

Class separability measures, 117

Clustering, 159

Complete link agglomerative algorithm,

200

Cost function optimization clustering

algorithms, 168

D

Data normalization, 108

Dimensionality reduction, 79

Dissimilarity dendrogram, 201

Dynamic time warping, 139

Speech recognition, 143

E

Edit distance, 137

Endpoint constraints, 142

Epoch, 33

Euclidean distance classifier , 6

Expectation-Maximization (EM)

algorithm, 13

F

Feature selection, 107

Feature vector selection, 124 ...