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Geometric Data Analysis

by Kirby
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Overview

This book addresses the most efficient methods of pattern analysis using wavelet decomposition. Readers will learn to analyze data in order to emphasize the differences between closely related patterns and then categorize them in a way that is useful to system users.

Synopsis

This book addresses the most efficient methods of pattern analysis using wavelet decomposition. Readers will learn to analyze data in order to emphasize the differences between closely related patterns and then categorize them in a way that is useful to system users.

About the Author, Kirby

MICHAEL KIRBY is a professor in the Department of Mathematics at Colorado State University in Fort Collins, Colorado. He has worked in the field of data reduction for well over a decade.

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Editorials

From the Publisher

"...provides a valuable summary of data reduction." (Technometrics, May 2002)

"...effectively describes and summarizes an emerging new field, namely, scientific data modeling and analysis." (Mathematical Reviews, 2003h)

Book Details

Published
December 1, 2000
Publisher
Wiley, John & Sons, Incorporated
Pages
384
Format
Hardcover
ISBN
9780471239291

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