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Geometric Structure of High-Dimensional Data and Dimensionality Reduction

Authors: Wang, Jianzhong

  • Comprehensively introducing all of popular linear and nonlinear dimensionality reduction methods
  • Full description of mathematical and statistical foundations of the introduced dimensionality reduction
  • Including most recently developed methods
  • Including all of feasible and effective algorithms and Matlab code for introduces methods
  • Including many examples and demo graphs for various application areas
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eBook $99.00
price for USA (gross)
  • ISBN 978-3-642-27497-8
  • Digitally watermarked, DRM-free
  • Included format: PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $129.00
price for USA
  • ISBN 978-3-642-27496-1
  • Free shipping for individuals worldwide
  • Online orders shipping within 2-3 days.
About this book

"Geometric Structure of High-Dimensional Data and Dimensionality Reduction" adopts data geometry as a framework to address various methods of dimensionality reduction. In addition to the introduction to well-known linear methods, the book moreover stresses the recently developed nonlinear methods and introduces the applications of dimensionality reduction in many areas, such as face recognition, image segmentation, data classification, data visualization, and hyperspectral imagery data analysis. Numerous tables and graphs are included to illustrate the ideas, effects, and shortcomings of the methods. MATLAB code of all dimensionality reduction algorithms is provided to aid the readers with the implementations on computers. 

The book will be useful for mathematicians, statisticians, computer scientists, and data analysts. It is also a valuable handbook for other practitioners who have a basic background in mathematics, statistics and/or computer algorithms, like internet search engine designers, physicists, geologists, electronic engineers, and economists.

Jianzhong Wang is a Professor of Mathematics at Sam Houston State University, U.S.A.

Table of contents (15 chapters)

Buy this book

eBook $99.00
price for USA (gross)
  • ISBN 978-3-642-27497-8
  • Digitally watermarked, DRM-free
  • Included format: PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $129.00
price for USA
  • ISBN 978-3-642-27496-1
  • Free shipping for individuals worldwide
  • Online orders shipping within 2-3 days.
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Bibliographic Information

Bibliographic Information
Book Title
Geometric Structure of High-Dimensional Data and Dimensionality Reduction
Authors
Copyright
2012
Publisher
Springer-Verlag Berlin Heidelberg
Copyright Holder
Higher Education Press, Beijing and Springer-Verlag Berlin Heidelberg
Distribution Rights
Distribution rights in China: Higher Education Press
eBook ISBN
978-3-642-27497-8
DOI
10.1007/978-3-642-27497-8
Hardcover ISBN
978-3-642-27496-1
Edition Number
1
Number of Pages
XVIII, 356
Additional Information
Jointly published with Higher Education Press
Topics