Statistics (STAT)
School of Mathematics and Statistics
Faculty of Science
STAT 4601 [0.5 credit]
Data Mining I (Honours)
Data visualization; knowledge discovery in datasets; unsupervised learning: clustering algorithms; dimension reduction; supervised learning: pattern recognition, smoothing techniques, classification. Computer software will be used.
Prerequisite:
STAT 3553 or
STAT 3503 (or
STAT 3505) or
MATH 3806, or permission of the School.
Lectures three hours a week, laboratory one hour a week.