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Access Pattern Classification 2nd Edition Chapter 3 solutions now. The following MATLAB function is used to load the Chapter 3 Computer Exercise data. Computer Manual In Matlab To Accompany Pattern Classification 2nd Edition Pdf recognition topics to the students through a mixture of motivational applications E. Hart, David G. Stork, 'Pattern Classification,' 2nd Edition, Wiley-Interscience, 'Computer Manual in MATLAB to accompany Pattern Classification,' 2nd.
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Description
The first edition, published in 1973, has become a classic reference in the field. Now with the second edition, readers will find information on key new topics such as neural networks and statistical pattern recognition, the theory of machine learning, and the theory of invariances. Also included are worked examples, comparisons between different methods, extensive graphics, expanded exercises and computer project topics.
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Table of contents
Bayesian Decision Theory.
Maximum-Likelihood and Bayesian Parameter Estimation.
Nonparametric Techniques.
Linear Discriminant Functions.
Multilayer Neural Networks.
Stochastic Methods.
Nonmetric Methods.
Algorithm-Independent Machine Learning.
Unsupervised Learning and Clustering.
Appendix.
Index.
Maximum-Likelihood and Bayesian Parameter Estimation.
Nonparametric Techniques.
Linear Discriminant Functions.
Multilayer Neural Networks.
Stochastic Methods.
Nonmetric Methods.
Algorithm-Independent Machine Learning.
Unsupervised Learning and Clustering.
Appendix.
Index.
Reviews
'...it provides a good introduction to the subject of Pattern Classification.' (Journal of Classification, September 2007)
'...a fantastic book! The presentation...could not be better, and I recommend that future authors consider...this book as a role model.' (Journal of Statistical Computation and Simulation, March 2006)
'...strongly recommended both as a professional reference and as a text for students...' (Technometrics, February 2002)
'...provides information needed to choose the most appropriate of the many available technique for a given class of problems.' (SciTech Book News, Vol. 25, No. 2, June 2001)
'I do not believe anybody wishing to teach or do serious work on Pattern Recognition can ignore this book, as it is the sort of book one wishes to find the time to read from cover to cover!' (Pattern Analysis & Applications Journal, 2001)
'This book is the unique text/professional reference for any serious student or worker in the field of pattern recognition.' (Mathematical Reviews, Issue 2001k)
'...gives a systematic overview about the major topics in pattern recognition, based whenever possible on fundamental principles.' (Zentralblatt MATH, Vol. 968, 2001/18)
'attractively presented and readable' (Journal of Classification, Vol.18, No.2 2001)
'...a fantastic book! The presentation...could not be better, and I recommend that future authors consider...this book as a role model.' (Journal of Statistical Computation and Simulation, March 2006)
'...strongly recommended both as a professional reference and as a text for students...' (Technometrics, February 2002)
'...provides information needed to choose the most appropriate of the many available technique for a given class of problems.' (SciTech Book News, Vol. 25, No. 2, June 2001)
'I do not believe anybody wishing to teach or do serious work on Pattern Recognition can ignore this book, as it is the sort of book one wishes to find the time to read from cover to cover!' (Pattern Analysis & Applications Journal, 2001)
'This book is the unique text/professional reference for any serious student or worker in the field of pattern recognition.' (Mathematical Reviews, Issue 2001k)
'...gives a systematic overview about the major topics in pattern recognition, based whenever possible on fundamental principles.' (Zentralblatt MATH, Vol. 968, 2001/18)
'attractively presented and readable' (Journal of Classification, Vol.18, No.2 2001)
Extra
Supplementary Files Access MATLAB Toolbox Supplement (Password required. Available in the title: Computer Manual in MATLAB to Accompany Pattern Classification, Second Edition) |
Features
- For instructor's resources email the editorial department at [email protected]
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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.
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.
Buy Set of 1 Items
This item: Computer Manual in MATLAB to accompany Pattern Classification, 2nd Edition
Table of contents
Preface.Chapter 1. Introduction to MATLAB.
Basic Navigation and Interaction.
Scalars, Variables and Basic Arithmetic.
Relational and Logical Operators.
Lists, Vectors and Matrices.
Matrix Multiplication.
Vector and Matrix Norms.
Determinants, Inverses and Pseudoinverses.
Matrix Powers and Exponentials.
Eigenvalues and Eigenvectors.
Data Analysis.
Clearing Variables and Functions.
Data Types.
Chapter 2. Programming in MATLAB.
Scripts.
Functions.
Flow Control.
User Input.
Debugging.
Data, and File Input and Output.
Strings.
Operations on Strings.
Chapter 3. Classification Toolbox.
Loading the Toolbox and Starting MATLAB.
Graphical User Interface.
Introductory Examples.
GUI Controls.
Creating Your Own Data Files.
Classifying Using the Text-based Interface.
Classifier Comparisons.
How to Add New Algorithms.
Adding a New Feature Selection Algorithm.
List of Functions.
Appendix: Program Descriptions.
References.
Index.
Extra
Information Site Access updated information and updated software for the Classification Toolbox. |
Toolbox Software Download Site Download Pattern Classification Toolbox Software. Visitors will require a password from the Manual to access |