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Random graphs for statistical pattern recognition

Random Graphs for Statistical Pattern Recognition describes several classes of random graphs used in pattern recognition. It covers the neighborhood graphs introduced by Toussaint, as well as the various generalizations and specific cases. These graphs have been widely used for clustering.

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Bibliographic Details
Main Authors: Marchette, David J
Published:
Literature type: Electronic eBook
Language: English
Series: Wiley series in probability and statistics
Subjects:
Random graphs
Pattern perception > Statistical methods
Pattern recognition systems
Graphes aléatoires
Perception des structures > Méthodes statistiques
Reconnaissance des formes Informatique
MATHEMATICS > Graphic Methods
Graphes aleatoires
Perception des structures > Methodes statistiques
Electronic books
Online Access: http://onlinelibrary.wiley.com/book/10.1002/047172209X
Summary: Random Graphs for Statistical Pattern Recognition describes several classes of random graphs used in pattern recognition. It covers the neighborhood graphs introduced by Toussaint, as well as the various generalizations and specific cases. These graphs have been widely used for clustering.
Carrier Form: 1 online resource (xiii, 237 pages) : illustrations.
Bibliography: Includes bibliographical references (pages 213-227) and indexes.
ISBN: 0471722081
9780471722083
0471221767
9780471221760
047172209X
9780471722090
Index Number: QA166
CLC: O157.5
Contents: Random Graphs for Statistical Pattern Recognition Contents Preface Acknowledgments 1 Preliminaries 2 Computational Geometry 3 Neighborhood Graphs 4 Class Cover Catch Digraphs 5 Cluster Catch Digraphs.

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