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PATTERN RECOGNITION

Bayesian Decision Theory

Introduction To Pattern Recognition

Linear Discriminant Functions

Maximum-likelihood and Bayesian Parameter Estimation

Non-Metric Methods

Non-parametric Techniques

Stochastic Methods

Unsupervised Learning and Clustering

 

 

 

 

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