Object Oriented Data Analysis
eBook - ePub

Object Oriented Data Analysis

  1. 424 pages
  2. English
  3. ePUB (mobile friendly)
  4. Available on iOS & Android
eBook - ePub

Object Oriented Data Analysis

About this book

Object Oriented Data Analysis is a framework that facilitates inter-disciplinary research through new terminology for discussing the often many possible approaches to the analysis of complex data. Such data are naturally arising in a wide variety of areas. This book aims to provide ways of thinking that enable the making of sensible choices.

The main points are illustrated with many real data examples, based on the authors' personal experiences, which have motivated the invention of a wide array of analytic methods.

While the mathematics go far beyond the usual in statistics (including differential geometry and even topology), the book is aimed at accessibility by graduate students. There is deliberate focus on ideas over mathematical formulas.

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Yes, you can access Object Oriented Data Analysis by J. S. Marron,Ian L. Dryden in PDF and/or ePUB format, as well as other popular books in Informatik & Computergraphiken. We have over one million books available in our catalogue for you to explore.

Information

Edition
1

Table of contents

  1. Cover Page
  2. Half-Title Page
  3. Series Page
  4. Title Page
  5. Copyright Page
  6. Dedication Page
  7. Contents
  8. Preface
  9. 1 What Is OODA?
  10. 2 Breadth of OODA
  11. 3 Data Object Definition
  12. 4 Exploratory and Confirmatory Analyses
  13. 5 OODA Preprocessing
  14. 6 Data Visualization
  15. 7 Distance Based Methods
  16. 8 Manifold Data Analysis
  17. 9 FDA Curve Registration
  18. 10 Graph Structured Data Objects
  19. 11 Classification–Supervised Learning
  20. 12 Clustering–Unsupervised Learning
  21. 13 High-Dimensional Inference
  22. 14 High Dimensional Asymptotics
  23. 15 Smoothing and SiZer
  24. 16 Robust Methods
  25. 17 PCA Details and Variants
  26. 18 OODA Context and Related Areas
  27. Bibliography
  28. Index