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nexusstc/Exploratory data analysis with MATLAB/db3f2cff7587ae40b4548d95f06fb24e.pdf
Exploratory Data Analysis with MATLAB (Chapman & Hall/CRC Computer Science & Data Analysis) 🔍
Wendy L. Martinez; Angel R. Martinez; Jeffrey Solka; Angel Martinez Chapman and Hall/CRC, Chapman & Hall/CRC Computer Science & Data Analysis, 1, 2005
英语 [en] · PDF · 7.3MB · 2005 · 📘 非小说类图书 · 🚀/lgli/lgrs/nexusstc/zlib · Save
描述
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. 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.
备用文件名
lgli/Martinez W., Martinez A. Exploratory data analysis with MATLAB (ISBN 1584883669)(CRC, 2005)(396s).pdf
备用文件名
lgrsnf/Martinez W., Martinez A. Exploratory data analysis with MATLAB (ISBN 1584883669)(CRC, 2005)(396s).pdf
备用文件名
zlib/Biology and other natural sciences/Wendy L. Martinez, Angel Martinez, Jeffrey Solka/Exploratory data analysis with MATLAB_645351.pdf
备选标题
Exploratory Data Analysis with MATLAB (Computer Science and Data Analysis)
备选作者
Martinez, Wendy L., Martinez, Angel R., Martinez, Wendy L., Solka, Jeffrey, Martinez, Angel
备选作者
Steven D. Strauss
备用出版商
CRC Press LLC
备用版本
Series in computer science and data analysis, Boca Raton, Fla, ©2005
备用版本
Computer science and data analysis, Boca Raton, Fla, 2004
备用版本
Taylor & Francis (Unlimited), Boca Raton, Fla, 2005
备用版本
United States, United States of America
备用版本
Boca Raton, Fla, Florida, 2005
备用版本
November 29, 2004
备用版本
1, PS, 2004
元数据中的注释
kolxoz
元数据中的注释
lg217653
元数据中的注释
{"edition":"1","isbns":["1584883669","9781584883661"],"last_page":396,"publisher":"Chapman & Hall/CRC","series":"Chapman & Hall/CRC Computer Science & Data Analysis"}
元数据中的注释
Includes bibliographical references (p. 377-393) and index.
16
备用描述
<p><p>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.<p>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.<p>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.</p>
备用描述
Exploratory Data Analysis with MATLAB is the first book to put a computational emphasis on the methods used to visualize and summarize data before making model assumptions to generate hypotheses. The authors use MATLAB code and algorithmic descriptions to provide the user with state-of-the-art techniques for finding patterns and structure in data. They also focus on the computational aspects of these methodologies as opposed to theoretical. Many annotated references to papers and books help to provide the theoretical aspects of the topic. The approach taken by the authors helps to make exploratory data analysis accessible to a wide range of users
备用描述
"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."--BOOK JACKET
备用描述
This book is divided into two main sections: pattern discovery and graphical EDA.
开源日期
2010-02-18
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