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Geometric Data Analysis
Michael Kirby
€ 146.94
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Description for Geometric Data Analysis
Hardcover. 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. Num Pages: 384 pages, illustrations. BIC Classification: PBKS; PBM; UYQP. Category: (P) Professional & Vocational; (UP) Postgraduate, Research & Scholarly; (UU) Undergraduate. Dimension: 243 x 166 x 26. Weight in Grams: 696.
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.
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.
Product Details
Format
Hardback
Publication date
2000
Publisher
John Wiley and Sons Ltd United States
Number of pages
384
Condition
New
Number of Pages
384
Place of Publication
, United States
ISBN
9780471239291
SKU
V9780471239291
Shipping Time
Usually ships in 7 to 11 working days
Ref
99-50
About Michael 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.
Reviews for Geometric Data Analysis
"...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)