A Beginner's Guide to Graph Theory
Concisely written, gentle introduction to graph theory suitable as a textbook or for self-study
Graph-theoretic applications from diverse fields (computer science, engineering, chemistry, management science)
2nd ed. includes new chapters on labeling and communications networks and small worlds, as well as expanded...
Cluster Analysis for Data Mining and System Identification
Data clustering is a common technique for statistical data analysis, which is used in many fields, including machine learning, data mining, pattern recognition, image analysis and bioinformatics. Clustering is the classification of similar objects into different groups, or more precisely, the partitioning of a data set into subsets...
Fourier Analysis on Finite Abelian Groups (Applied and Numerical Harmonic Analysis)
Fourier analysis has been the inspiration for a technological wave of advances in fields such as imaging processing, financial modeling, algorithms and sequence design. This unified, self-contained book examines the mathematical tools used for decomposing and analyzing functions, specifically, the application of the [discrete] Fourier transform...
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