MATH 6365 - Automatic Learning and Data Mining

Credit Hours: 3.0
Lecture Contact Hours: 3 Lab Contact Hours: 0

Prerequisite: MATH 3338 and MATH 3339, or instructor’s consent.

Automatic learning and data mining cluster high-dimension inputs to predict their impact on decision outputs. Kernel based Clustering and Learning enable dictionary generation, pattern classification, non linear regression. Applications: shape recognition, genes expression analysis, etc.