Difference between revisions of "Principal Component Analysis"
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* Also download | * Also download these 3 CSV files and bring them on your computer: | ||
** Peas dataset: http://datasets.connectmv.com/info/peas | ** Peas dataset: http://datasets.connectmv.com/info/peas | ||
** Food texture dataset: http://datasets.connectmv.com/info/food-texture | ** Food texture dataset: http://datasets.connectmv.com/info/food-texture |
Revision as of 16:19, 16 September 2011
Class notes
<pdfreflow> class_date = 16 September 2011 [1.65 Mb] button_label = Create my projector slides! show_page_layout = 1 show_frame_option = 1 pdf_file = lvm-class-2.pdf </pdfreflow>
- Also download these 3 CSV files and bring them on your computer:
- Peas dataset: http://datasets.connectmv.com/info/peas
- Food texture dataset: http://datasets.connectmv.com/info/food-texture
- Food consumption dataset: http://datasets.connectmv.com/info/food-consumption
Class preparation
- Reading for class 2
- Linear algebra topics you should be familiar with before class 2 (16 September):
- matrix multiplication
- that matrix multiplication of a vector by a matrix is a transformation from one coordinate system to another (we will review this in class)
- linear combinations (read the first section of that website: we will review this in class)
- the dot product of 2 vectors, and that they are related by the cosine of the angle between them (see the geometric interpretation section)
- Optimization theory you should be familiar with before class 2 (16 September):
- how an optimization problem is written
- the Lagrange multiplier principle for solving simple, equality constrained optimization problems