Random Graphs for Statistical Pattern Recognition

English

Series: Wiley Series in Probability and Statistics Ser.

Volume: 416

ISBN: 0471722081

EAN: 9780471722083

Category: Psychology / Cognitive Psychology/Computers / Computer Vision & Pattern Recognition/

Publisher: Wiley-Interscience

Release Date: 02/11/2005

Synopsis: 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. A newly introduced random graph, called the class cover catch digraph (CCD), is the primary focus of the book. The properties of the CCCD are investigated, along with applications to discrimination, dimensionality reduction, and aggregation/association detection.

Excerpt: Unknown Property Excerpt

Random Graphs for Statistical Pattern Recognition

Illustrated: No

Format: eBook - PDF