CM 462 Data VisualizationComputational Mathematics (2009-2010)
Visualization of high dimensional data including interactive methods directed at exploration and assessment of structure and dependencies in data. Methods for finding groups in data including traditional and modern methods of cluster analysis. Dimension reduction methods including multi-dimensional scaling, nonlinear and other methods. [Offered: F]
Prerequisites: STAT 231 or 241; Not open to General Mathematics students
Notes: (Cross-listed with STAT 442)
Sections For Fall 2009
| Lectures | ||||||||
| Professor | Time | Capacity | Sec | Assoc | Rel 1 | Rel 2 | Location | Code |
| Oldford, Wayne | 01:30-02:20 M T W Th F | 4/10 | 1 | 1 | B2 350 | 5214 | ||
| Held With: STAT 442 | ||||||||
| Held With: STAT 842 | ||||||||
Sections For Spring 2009
CM 462 is not held in Spring 2009