Exploratory Data Analysis with MATLAB

Exploratory Data Analysis with MATLAB

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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.show more

Product details

  • Hardback | 424 pages
  • 160 x 236.2 x 27.9mm | 725.76g
  • Taylor & Francis Ltd
  • Chapman & Hall/CRC
  • United States
  • English
  • Annotated
  • 100 black & white illustrations, 14 black & white tables
  • 1584883669
  • 9781584883661
  • 2,408,546

Review quote

"This book has a good introduction to EDA, and then illustrates several applications where MATLAB provides the analysis of data to produce unexpected results." - Books-on-Line "This is a book for those who have a good grounding in linear algebra and statistics who wish to use MATLAB for statistical investigations." -Short Book Reviews of the International Statistical Instituteshow more

Table of contents

INTRODUCTION TO EXPLORATORY DATA ANALYSIS Introduction to Exploratory Data Analysis EDA AS PATTERN DISCOVERY Dimensionality Reduction - Linear Methods Dimensionality Reduction - Nonlinear Methods Data Tours Finding Clusters Model-Based Clustering Smoothing Scatterplots GRAPHICAL METHODS FOR EDA Visualizing Clusters Distribution Shapes Multivariate Visualization APPENDIX A: PROXIMITY MEASURES APPENDIX B: SOFTWARE RESOURCES FOR EDA APPENDIX C: DESCRIPTION OF DATA SETS APPENDIX D: INTRODUCTION TO MATLAB APPENDIX E: MATLAB FUNCTIONSshow more

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