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Exploratory data analysis with MATLAB
~
Martinez, Angel R.
Exploratory data analysis with MATLAB
紀錄類型:
書目-電子資源 : Monograph/item
正題名/作者:
Exploratory data analysis with MATLABWendy L. Martinez, Angel Martinez, Jeffrey Solka.
作者:
Martinez, Wendy L.
其他作者:
Martinez, Angel R.
出版者:
Boca Raton, Fla. :CRC Press,c2011.
面頁冊數:
1 online resource (xix, 508 p.) :ill.
標題:
Multivariate analysis.
電子資源:
http://www.crcnetbase.com/isbn/978-1-4398-1220-4
ISBN:
9781439812211 (electronic bk.)
Exploratory data analysis with MATLAB
Martinez, Wendy L.
Exploratory data analysis with MATLAB
[electronic resource] /Wendy L. Martinez, Angel Martinez, Jeffrey Solka. - 2nd ed. - Boca Raton, Fla. :CRC Press,c2011. - 1 online resource (xix, 508 p.) :ill. - Computer science and data analysis series. - Series in computer science and data analysis..
Includes bibliographical references (p. 475-495) and index.
"Using MATLABʼ to illustrate computational aspects of EDA, this second edition updates all the techniques and improves the Toolboxes in each chapter. The authors extensively use MATLAB code and algorithm descriptions to provide state-of-the-art techniques for finding patterns and structure in data. Addressing theory, they also incorporate many annotated references to direct readers to the more theoretical aspects of the methods. The book presents an approach using only the basic functions from MATLAB and the MATLAB Statistics Toolbox in order to be more accessible and enduring. It also contains pseudo-code to enable users of other software packages to implement the algorithms"--
ISBN: 9781439812211 (electronic bk.)Subjects--Uniform Titles:
MATLAB.
Subjects--Topical Terms:
181905
Multivariate analysis.
Index Terms--Genre/Form:
214472
Electronic books.
LC Class. No.: QA278 / .M3735 2011
Dewey Class. No.: 519.5/35
Exploratory data analysis with MATLAB
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Includes bibliographical references (p. 475-495) and index.
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"Using MATLABʼ to illustrate computational aspects of EDA, this second edition updates all the techniques and improves the Toolboxes in each chapter. The authors extensively use MATLAB code and algorithm descriptions to provide state-of-the-art techniques for finding patterns and structure in data. Addressing theory, they also incorporate many annotated references to direct readers to the more theoretical aspects of the methods. The book presents an approach using only the basic functions from MATLAB and the MATLAB Statistics Toolbox in order to be more accessible and enduring. It also contains pseudo-code to enable users of other software packages to implement the algorithms"--
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http://www.crcnetbase.com/isbn/978-1-4398-1220-4
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