Read Geometric Structure of High-Dimensional Data and Dimensionality Reduction

Geometric Structure of High-Dimensional Data and Dimensionality Reduction

Jianzhong Wang

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Description:"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.We have made it easy for you to find a PDF Ebooks without any digging. And by having access to our ebooks online or by storing it on your computer, you have convenient answers with Geometric Structure of High-Dimensional Data and Dimensionality Reduction. To get started finding Geometric Structure of High-Dimensional Data and Dimensionality Reduction, you are right to find our website which has a comprehensive collection of manuals listed.
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ISBN: 364227496X

Description: "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.We have made it easy for you to find a PDF Ebooks without any digging. And by having access to our ebooks online or by storing it on your computer, you have convenient answers with Geometric Structure of High-Dimensional Data and Dimensionality Reduction. To get started finding Geometric Structure of High-Dimensional Data and Dimensionality Reduction, you are right to find our website which has a comprehensive collection of manuals listed.
Our library is the biggest of these that have literally hundreds of thousands of different products represented.

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Geometric Structure of High-Dimensional Data and Dimensionality Reduction

Geometric Structure of High-Dimensional Data and Dimensionality Reduction

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