CSCI 5530: Pattern Classification Prerequisites: Calculus, linear algebra, probability, statistics and a compiler language. Introduction to the basic concepts of pattern classification including Bayes decision theory, parametric and non-parametric techniques, linear discriminant functions and clustering. Laboratory instruction.