Pattern classification Richard O Duda.

By:

Duda, Richard O.; Hart, Peter E.; Stork, David G

Material type: Text

TextPublication details: New Delhi Wiley 2006.Edition: 2nd. edDescription: xx; 654 pISBN:

9788126511167

Online resources:

Amazon.com

Summary: The book provides an inexpensive matlab toolbox for the main algorithms in pattern classification. It contains supporting algorithms for data generation and visualization and contains step-by-step worked examples. � bayesian decision theory � maximum-likelihood and bayesian parameter estimation � nonparametric techniques � linear discriminant functions � multilayer neural networks � stochastic methods � nonmetric methods � algorithm-independent machine learning � unsupervised learning and clustering.

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Holdings
Item type	Current library	Collection	Call number	Status	Notes	Barcode
Book	Air University Central Library Islamabad Computer Science	NFIC	006.4 DUD (Browse shelf(Opens below))	Available	Program Relevancy: BSCS; Course Relevancy: Pattern recognition systems; Data analysis	P11066

The book provides an inexpensive matlab toolbox for the main algorithms in pattern classification. It contains supporting algorithms for data generation and visualization and contains step-by-step worked examples. � bayesian decision theory � maximum-likelihood and bayesian parameter estimation � nonparametric techniques � linear discriminant functions � multilayer neural networks � stochastic methods � nonmetric methods � algorithm-independent machine learning � unsupervised learning and clustering.

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Pattern classification Richard O Duda.