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David G. Stork
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Pattern classification is a vital and growing field with applications in such areas as speech recognition, handwriting recognition, computer vision, image analysis, data mining, information retrieval, machine learning, and neural networks. Expanding on the MATLAB classification toolbox developed by Elad Yom-Tov at the Technion, Israel Institute of Technology, and tested by hundreds of students and practioners worldwide, Computer Manual in MATLAB to accompany Pattern Classification, Second Edition serves as both a companion to Pattern Classification, Second Edition, and as a professional software toolbox for researchers in pattern classification and signal processing.
Beginning with an introduction to programming in MATLAB suitable for readers with no such programming experience, this Manual and its accompanying software: Implement all the algorithms described in Pattern Classification, Second Edition Implement important recent algorithms not found in the text Use the same terminology as the text Include representative data sets, including those from the computer exercises in the text Include step-by-step worked examples, including some of the examples and figures in the text Provide self-annotated code so the user can easily navigate, understand, and modify the code Offer privileged access to an associated Wiley ftp site for downloading all the software, corrections, and additions
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