Exploratory data analysis with MATLAB /
"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 d...
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| Language: | eng |
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Boca Raton, Fla. : CRC Press,
c201
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| _version_ | 1826446547231965184 |
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| author | 385744 Martinez, Wendy L. Martinez, Angel R. Solka, Jeffrey L., 1955- |
| author_facet | 385744 Martinez, Wendy L. Martinez, Angel R. Solka, Jeffrey L., 1955- |
| author_sort | 385744 Martinez, Wendy L. |
| collection | OCEAN |
| description | "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"-- |
| first_indexed | 2024-03-05T10:58:32Z |
| format | |
| id | KOHA-OAI-TEST:449578 |
| institution | Universiti Teknologi Malaysia - OCEAN |
| language | eng |
| last_indexed | 2024-03-05T10:58:32Z |
| publishDate | c201 |
| publisher | Boca Raton, Fla. : CRC Press, |
| record_format | dspace |
| spelling | KOHA-OAI-TEST:4495782020-12-19T17:16:19ZExploratory data analysis with MATLAB / 385744 Martinez, Wendy L. Martinez, Angel R. Solka, Jeffrey L., 1955- Boca Raton, Fla. : CRC Press,c2011eng"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"--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"--PSZKLLMATLABMultivariate analysisMathematical statisticsURN:ISBN:9781439812204 (hardback : alk. paper) |
| spellingShingle | MATLAB Multivariate analysis Mathematical statistics 385744 Martinez, Wendy L. Martinez, Angel R. Solka, Jeffrey L., 1955- Exploratory data analysis with MATLAB / |
| title | Exploratory data analysis with MATLAB / |
| title_full | Exploratory data analysis with MATLAB / |
| title_fullStr | Exploratory data analysis with MATLAB / |
| title_full_unstemmed | Exploratory data analysis with MATLAB / |
| title_short | Exploratory data analysis with MATLAB / |
| title_sort | exploratory data analysis with matlab |
| topic | MATLAB Multivariate analysis Mathematical statistics |
| work_keys_str_mv | AT 385744martinezwendyl exploratorydataanalysiswithmatlab AT martinezangelr exploratorydataanalysiswithmatlab AT solkajeffreyl1955 exploratorydataanalysiswithmatlab |