Pattern classification, 2nd ed
Bibliographic details
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.