000			01999cam a22002294a 4500
005			20250227101740.0
008			110715s2011 njua b 001 0 eng
020			_a9780470682289 (paper)
041			_aeng
082	0	0	_a006.4 _bWEB/S
100	1		_aWebb, A. R.
245	1	0	_aStatistical pattern recognition / _cAndrew R. Webb, Keith D. Copsey.
250			_a3rd ed.
260			_aHoboken : _bWiley, _c2011.
300			_axxiv, 642 p. :
520			_a" 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. "--
520			_a"The book describes techniques for analysing data comprising measurements made on individuals or objects."--
650		0	_aPattern perception _xStatistical methods.
650		7	_aMATHEMATICS / Probability & Statistics / General.
700	1		_aCopsey, Keith D.
942			_cBK
999			_c4028 _d4028