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Random graphs for statistical pattern recognition /

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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.

Bibliographic Details
Main Author: Marchette, David J.
Format: eBook
Language:English
Published: Hoboken, N.J. : Wiley-Interscience, ©2004.
Subjects:
Random graphs.
Pattern perception > Statistical methods.
Pattern recognition systems.
Pattern Recognition, Automated
Online Access:Connect to the full text of this electronic book
Description
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.
Physical Description:1 online resource (xiii, 237 pages) : illustrations
Bibliography:Includes bibliographical references (pages 213-227) and indexes.
ISBN:0471722081
9780471722083
0471221767
9780471221760
047172209X
9780471722090