Description Decision Theory, Linear Discriminants, Logistic Regression, Principal Components Analysis, Support Vector Machines, Vector Quantization, Mixture of Gaussian, Expectation-Maximization, Clustering, Mixture of Gaussian, Case Studies and applications: object classification.