Geometric Structure of High Dimensional Data and Dimensionality Reduction is popular PDF and ePub book, written by Jianzhong Wang in 2012-04-28, it is a fantastic choice for those who relish reading online the Computers genre. Let's immerse ourselves in this engaging Computers book by exploring the summary and details provided below. Remember, Geometric Structure of High Dimensional Data and Dimensionality Reduction can be Read Online from any device for your convenience.
Geometric Structure of High Dimensional Data and Dimensionality Reduction Book PDF Summary
"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.
Detail Book of Geometric Structure of High Dimensional Data and Dimensionality Reduction PDF
- Author : Jianzhong Wang
- Release : 28 April 2012
- Publisher : Springer Science & Business Media
- ISBN : 9783642274978
- Genre : Computers
- Total Page : 356 pages
- Language : English
- PDF File Size : 14,9 Mb
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