Pattern classification
Richard O Duda.
- 2nd. ed.
- New Delhi Wiley 2006.
- xx; 654 p.
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.