Exploratory Data Analysis with MATLAB (Chapman & Hall/CRC Computer Science & Data Analysis)

Wendy L. Martinez; Angel R. Martinez; Jeffrey Solka; Angel Martinez

ISBN 10: 1584883669 / ISBN 13: 9781584883661

Editore: Chapman and Hall/CRC, 2004

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Missing dust jacket; May have limited writing in cover pages. Pages are unmarked. ~ ThriftBooks: Read More, Spend Less 1.65.

Codice articolo G1584883669I4N01

Dati bibliografici

• Titolo: Exploratory Data Analysis with MATLAB (Chapman & Hall/CRC Computer Science & Data Analysis)
• Editore: Chapman and Hall/CRC
• Data di pubblicazione: 2004
• Lingua: Inglese
• ISBN 10: 1584883669
• ISBN 13: 9781584883661
• Rilegatura: Hardcover
• Condizione: Very Good
• Condizione della sovraccoperta: No Jacket
• Peso: 1,65 libbre

Descrizione articolo

Riassunto

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.

Contenuti

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 FUNCTIONS