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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:
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.
Title: Geometric Data Analysis: An Empirical ...
Publisher: John Wiley & Sons Inc
Publication Date: 2000
Binding: Hardback
Condition: New
Seller: Wonder Book, Frederick, MD, U.S.A.
Condition: Good. Good condition. A copy that has been read but remains intact. May contain markings such as bookplates, stamps, limited notes and highlighting, or a few light stains. Seller Inventory # K07Q-00670
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Hardcover. Condition: new. Excellent Condition.Excels in customer satisfaction, prompt replies, and quality checks. Seller Inventory # Scanned0471239291
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HRD. Condition: New. New Book. Shipped from UK. Established seller since 2000. Seller Inventory # FW-9780471239291
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Seller: moluna, Greven, Germany
Gebunden. Condition: New. .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)MICHAEL KIRBY is a professor in the. Seller Inventory # 446915394
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Condition: As New. Unread book in perfect condition. Seller Inventory # 31669
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