Random Graphs for Statistical Pattern Recognition

This book provides a 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; and, integrated discussions of CCCD with neighborhood graphs to the classification problem.