UNM Computer Science

CS 531 - Pattern Recognition - 3 credit hours

Decision functions and dichotomization; prototype classification and clustering; statistical classification and Bayes theory; trainable deterministic and statistical classifiers. Feature transformations and selection. Introduction to sequential, hierarchical and syntactic methods.

Prerequisite: STAT 345 or ECE 340.

(Also offered as ECE 517.)