| Title : | Computer manual in MATLAB to accompany Pattern classification |
| Material Type: | printed text |
| Authors: | David G Stork, Author ; Elad Yom-Tov, Author |
| Edition statement: | 2nd edition |
| Publisher: | Hoboken, N.J. : J. Wiley & Sons |
| Publication Date: | 2004 |
| Pagination: | ix, 134 p. |
| Layout: | ill. |
| Size: | 28 cm |
| ISBN (or other code): | 978-0-471-42977-7 |
| General note: | Includes bibliographical references (p. 127-128)
Includes index (p. 129- 134) |
| Languages : | English (eng) Original Language : English (eng) |
| Descriptors: | MATLAB.
Pattern recognition systems - Data processing
Statistical decision --Data processing.
|
| Class number: | 006.4 |
| Abstract: | "Computer Manual to Accompany Pattern Classification"- is an excellent companion to Duda : Pattern Classification, 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. |
| Contents note: | 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; Dataa analysis; Clearing variables and functions; Data types; Programming in MATLAB; Scripts; Functions; Flow control; User input; Debugging; Data, and File input and output; Strings; Operations on strings; 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; |
| Record link: | https://library.seeu.edu.mk/index.php?lvl=notice_display&id=13881 |
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