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Computer Manual in MATLAB to Accompany Pattern Classification
 
 
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Computer Manual in MATLAB to Accompany Pattern Classification [Paperback]

David G. Stork , Elad Yom-Tov

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Frequently Bought Together

Computer Manual in MATLAB to Accompany Pattern Classification + Pattern Classification, Second Edition: 1 (A Wiley-Interscience publication) + Pattern Recognition and Machine Learning (Information Science and Statistics)
Price For All Three: £143.74

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Product Description

Product Description

Computer Manual to Accompany Pattern Classification and its associated MATLAB software is an excellent companion to Duda: Pattern Classfication, 2nd ed, (DH&S). The code contains all algorithms described in Duda as well as supporting algorithms for data generation and visualization. The Manual uses the same terminology as the DH&S text and contains step–by–step worked examples, including many of the examples and figures in the textbook.
The Manual is accompanied by software that is available electronically. The software contains all algorithms in DH&S, indexed to the textbook, and uses symbols and notation as close as possible to the textbook. The code is self–annotating so the user can easily navigate, understand and modify the code.

From the Back Cover

A complete MATLAB® toolbox to accompany Pattern Classification Second Edition

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

Inside This Book (Learn More)
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Front Cover | Copyright | Table of Contents | Excerpt | Index | Back Cover
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Most Helpful Customer Reviews on Amazon.com (beta)
Amazon.com:  7 reviews
8 of 8 people found the following review helpful
Doesn't deserve to be called a manual 2 Oct 2008
By Siammang - Published on Amazon.com
Format:Paperback
It's an paperback book that could probably just shrink down into the plastic outline notes that sells for $5 at the bookstore. It sure is a collection of the basic instruction of Matlab that you can google or go bonehead with the help feature in Matlab. Definitely, not worth the price.
11 of 12 people found the following review helpful
Underwhelmed 3 April 2007
By Sue Katz - Published on Amazon.com
Format:Paperback|Amazon Verified Purchase
Talk about over-hype from reviewer #1!

This "manual" is thin on substantive content, with TONS of whitespace & whitepages to stretch it out to ~125pages. The documentation of the code should be available as a PDF with files on MATLAB's file exchange or on the publisher's website. Save yourself some $$.
9 of 10 people found the following review helpful
Don't buy it 19 Mar 2008
By Y. Lorentz - Published on Amazon.com
Format:Paperback
This supplementary book is absolutely useless. The contents of this book are poor and sparsely laid out, it just like an entry level MATLAB tutorial.

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