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Pattern Classification
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
