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Exploratory data analysis with MATLAB /

Martinez, Wendy L.

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Exploratory data analysis with MATLAB /

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Exploratory data analysis with MATLAB // Wendy L. Martinez, Angel Martinez, Jeffrey Solka.
Author:	Martinez, Wendy L.
other author:	Martinez, Angel R.
Published:	Boca Raton, Fla. :CRC Press, : c2011.,
Description:	xix, 508 p. :ill. ;25 cm.
Subject:	Multivariate analysis. -
ISBN:	9781439812204 (hbk.) :

Exploratory data analysis with MATLAB /
Martinez, Wendy L.

Exploratory data analysis with MATLAB /Wendy L. Martinez, Angel Martinez, Jeffrey Solka. - 2nd ed. - Boca Raton, Fla. :CRC Press,c2011. - xix, 508 p. :ill. ;25 cm. - Computer science and data analysis series. - Series in computer science and data analysis..

Includes bibliographical references (p. 475-495) and index.

"From the First Edition...Exploratory data analysis (EDA) was conceived at a time when computers were not widely used, and thus computational ability was rather limited. As computational sophistication has increased, EDA has become an even more powerful process for visualizing and summarizing data before making model assumptions to generate hypotheses, encompassing larger and more complex data sets. There are many resources for those interested in the theory of EDA, but this is the first book to use MATLAB to illustrate the computational aspects of this discipline.Exploratory Data Analysis with MATLAB presents the methods of EDA from a computational perspective. 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 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.<BR><BR>This text places the tools needed to implement EDA theory at the fingertips of researchers, applied mathematicians, computer scientists, engineers, and statisticians by using a practical/computational approach"--

ISBN: 9781439812204 (hbk.) :UK57.99Subjects--Uniform Titles:

MATLAB.
Subjects--Topical Terms:

517467
Multivariate analysis.

LC Class. No.: QA278 / .M3735 2011

Dewey Class. No.: 519.5/35

Exploratory data analysis with MATLAB /
LDR:02906cam a2200229 a 4500 001 1267304
003 OCoLC
005 20120904212611.0
008 120907s2011 flua b 001 0 eng d
020 $a 9781439812204 (hbk.) : $c UK57.99
020 $a 1439812209 (hbk.)
035 $a AS-BW-101-04
040 $a DLC $c DLC $d YDX $d BTCTA $d YDXCP $d UKM $d CDX $d COO
050 0 0 $a QA278 $b .M3735 2011
082 0 0 $a 519.5/35 $2 22
100 1 $a Martinez, Wendy L. $3 624855
245 1 0 $a Exploratory data analysis with MATLAB / $c Wendy L. Martinez, Angel Martinez, Jeffrey Solka.
250 $a 2nd ed.
260 # $a Boca Raton, Fla. : $b CRC Press, $c c2011.
300 $a xix, 508 p. : $b ill. ; $c 25 cm.
490 1 0 $a Computer science and data analysis series
504 $a Includes bibliographical references (p. 475-495) and index.
520 # $a "From the First Edition...Exploratory data analysis (EDA) was conceived at a time when computers were not widely used, and thus computational ability was rather limited. As computational sophistication has increased, EDA has become an even more powerful process for visualizing and summarizing data before making model assumptions to generate hypotheses, encompassing larger and more complex data sets. There are many resources for those interested in the theory of EDA, but this is the first book to use MATLAB to illustrate the computational aspects of this discipline.Exploratory Data Analysis with MATLAB presents the methods of EDA from a computational perspective. 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 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.<BR><BR>This text places the tools needed to implement EDA theory at the fingertips of researchers, applied mathematicians, computer scientists, engineers, and statisticians by using a practical/computational approach"-- $c Provided by publisher.
520 # $a "Using MATLAB® 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"-- $c Provided by publisher.
630 0 0 $a MATLAB. $3 532595
650 # 0 $a Multivariate analysis. $3 517467
650 # 0 $a Mathematical statistics. $3 516858
700 1 # $a Martinez, Angel R. $3 624854
700 1 # $a Solka, Jeffrey L., $d 1955- $3 1535371
830 0 $a Series in computer science and data analysis. $3 939289