Random Graphs for Statistical Pattern Recognition - Wiley Series in Probability and Statistics (Hardback)David J. Marchette (author)
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Random Graphs for Statistical Pattern Recognition is the first book to address the topic of random graphs as it applies to statistical pattern recognition. Both topics are of vital interest to researchers in various mathematical and statistical fields and have never before been treated together in one book. The use of data random graphs in pattern recognition in clustering and classification is discussed, and the applications for both disciplines are enhanced with new tools for the statistical pattern recognition community. New and interesting applications for random graph users are also introduced.
This important addition to statistical literature features:Information that previously has been available only through scattered journal articlesPractical tools and techniques for a wide range of real-world applicationsNew perspectives on the relationship between pattern recognition and computational geometryNumerous experimental problems to encourage practical applications
With its comprehensive coverage of two timely fields, enhanced with many references and real-world examples, Random Graphs for Statistical Pattern Recognition is a valuable resource for industry professionals and students alike.
Publisher: John Wiley and Sons Ltd
Number of pages: 264
Weight: 568 g
Dimensions: 240 x 161 x 22 mm
" I recommend this book to those who...wish to explore the exciting place where graph theory and pattern recognition meet." (Statistics in Medical Research, October 2005)
"This well-written book presents practical tools, and information that was previously found scattered in various journals." (Computing Reviews.com, March 9, 2005)
" an excellent resource book that would be a valuable addition " (Technometrics, February 2005)
clearly and accessible written, and nicely conveys the power, breadth and applicability of some very elegant ideas... (Short Book Reviews, Vol.24, No.3, December 2004)
Buy this book if use graphs in cluster and classification analysis. (Journal of Classification, Vol.21, No.2, 2004)
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