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Pattern Classification

Pattern Classification, 2e

Written for practicioners developing or investigating pattern recognition systems, this text provides users with the information they need to choose the most appropriate method for a given class of problems. The text includes clear explanations of both classical and new methods, including neural networks, stochastic methods, genetic algorithms, and theory of learning. A supplemental manual that introduces and solves application examples with MATLAB is available for this text: Computer Manual in MATLAB to Accompany Pattern Classification, 2e by David G. Stork and Elad Yom-Tov (ISBN 0-471-42977-5).

Companion software available Companion Software: A set of MATLAB M-files is available. Begleitende Software anfragen.



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Über dieses Buch

Richard O. Duda
Peter E. Hard
David G. Stork

John Wiley & Sons, Inc., 2000

ISBN: 0-471-05669-3
Language: English