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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:
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