© 1983

Pattern Recognition Approach to Data Interpretation


Table of contents

  1. Front Matter
    Pages i-xiii
  2. Diane D. Wolff, Michael L. Parsons
    Pages 1-15
  3. Diane D. Wolff, Michael L. Parsons
    Pages 17-108
  4. Diane D. Wolff, Michael L. Parsons
    Pages 109-160
  5. Diane D. Wolff, Michael L. Parsons
    Pages 161-172
  6. Back Matter
    Pages 173-223

About this book


An attempt is made in this book to give scientists a detailed working knowledge of the powerful mathematical tools available to aid in data interpretation, especially when con­ fronted with large data sets incorporating many parameters. A minimal amount of com­ puter knowledge is necessary for successful applications, and we have tried conscien­ tiously to provide this in the appropriate sections and references. Scientific data are now being produced at rates not believed possible ten years ago. A major goal in any sci­ entific investigation should be to obtain a critical evaluation of the data generated in a set of experiments in order to extract whatever useful scientific information may be present. Very often, the large number of measurements present in the data set does not make this an easy task. The goals of this book are thus fourfold. The first is to create a useful reference on the applications of these statistical pattern recognition methods to the sciences. The majority of our discussions center around the fields of chemistry, geology, environmen­ tal sciences, physics, and the biological and medical sciences. In Chapter IV a section is devoted to each of these fields. Since the applications of pattern recognition tech­ niques are essentially unlimited, restricted only by the outer limitations of.


pattern pattern recognition statistical pattern recognition

Authors and affiliations

  1. 1.University of ArizonaTucsonUSA
  2. 2.Department of ChemistryArizona State UniversityTempeUSA

Bibliographic information

  • Book Title Pattern Recognition Approach to Data Interpretation
  • Authors Diane Wolff
  • DOI
  • Copyright Information Springer-Verlag US 1983
  • Publisher Name Springer, Boston, MA
  • eBook Packages Springer Book Archive
  • Hardcover ISBN 978-0-306-41302-5
  • Softcover ISBN 978-1-4615-9333-1
  • eBook ISBN 978-1-4615-9331-7
  • Edition Number 1
  • Number of Pages XIV, 224
  • Number of Illustrations 0 b/w illustrations, 0 illustrations in colour
  • Topics Pattern Recognition
    Computer Applications in Chemistry
  • Buy this book on publisher's site