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Graphics, Multivariate Methods and Data Mining - STAT302
This unit is concerned with the structure of multivariate data which is explored graphically, analysed statistically and investigated using data mining methods. Multivariate methods covered include cluster analysis, principal components, and discriminant analysis. Knowledge of simple matrix algebra, although not essential, will be very helpful in understanding and working through these topics. Statistical packages are used extensively to illustrate the concepts in lectures and tutorials.
| Credit Points: | 3 |
| When Offered: | S2 Day - Session 2, North Ryde, Day |
| Staff Contact(s): | Dr Ayse Bilgin |
| Prerequisites: |
39cp including (STAT270(P) or STAT271(P) or BIOL235(P) or PSY222(P) or PSY248(P)) |
| Corequisites: | |
| NCCW(s): | STAT396 |
| Unit Designation(s): | |
| Unit Type: | |
| Assessed As: | Graded |
| Offered By: | Department of Statistics Faculty of Science |
Timetable Information
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