Statistical pattern recognition / Andrew R. Webb, Keith D. Copsey.

Author/creator Webb, A. R.
Other author Copsey, Keith D.
Format Electronic
Edition3rd ed.
Publication InfoHoboken : Wiley,
Descriptionxxiv, 642 p. : ill. ; 25 cm.
Supplemental ContentFull text available from Ebook Central - Academic Complete
Subjects

Abstract " Statistical Pattern Recognition provides an introduction to statistical pattern theory and techniques, with material drawn from a wide range of fields, including the areas of engineering, statistics, computer science and the social sciences. The book describes techniques for analysing data comprising measurements made on individuals or objects.. The techniques are used to make a prediction such as disease of a patient, the type of object illuminated by a radar, economic forecast. Emphasis is placed on techniques for classification, a term used for predicting the class or group an object belongs to (based on a set of exemplars) and for methods that seek to discover natural groupings in a data set. Each section concludes with a description of the wide range of practical applications that have been addressed and the further developments of theoretical techniques and includes a variety of exercises, from 'open-book' questions to more lengthy projects. New material is presented, including the analysis of complex networks and basic techniques for analysing the properties of datasets and also introduces readers to the use of variational methods for Bayesian density estimation and looks at new applications in biometrics and security. "-- Provided by publisher.
Abstract "The book describes techniques for analysing data comprising measurements made on individuals or objects."-- Provided by publisher.
Bibliography noteIncludes bibliographical references and index.
Access restrictionAvailable only to authorized users.
Technical detailsMode of access: World Wide Web
Genre/formElectronic books.
LCCN 2011024957
ISBN9780470682272 (hardback)
ISBN9780470682289 (paper)

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