Random Graphs for Statistical Pattern Recognition

Comprehensive coverage of two timely fields, enhanced with many references and real-world examples. This valuable resource presents

A detailed look at the application of random graphs to pattern recognition
Extensive examples of applications of the graphs studied, as well as the theoretical treatment of their properties
A unique compilation of new topics in discrete mathematics, pattern recognition, and machine learning
Integrated discussions of CCCD with neighborhood graphs to the classification problem.