Taught by: Emily Mackevicius and Greg Ciccarelli, MIT (January 19, 2016)
Video: Dimensionality Reduction I (31:30)
Description: Introduction to dimensionality reduction and the methods of principal components analysis and singular value decomposition.
Slides: Dimensionality Reduction I (PPT)
Additional Resources:
- Exercises
- Data for exercises (MATLAB .mat file)
- MATLAB example of PCA/SVD from lecture
- Burges, C. J. C. (2009) “Dimension Reduction: A Guided Tour.” Foundations and Trends in Machine Learning 2(4): 275–365.
- van der Maaten, L., Postma, E., and van den Herik, J. (2009) “Dimensionality Reduction: A Comparative Review.”
- Mining of Massive Datasets (Stanford course)
- MATLAB Toolbox for Dimensionality Reduction (Laurens van der Maaten)
