Gave a guest lecture on dimensionality reduction at Amir Geva’s “Clustering and Unsupervised Computer Learning” graduate course. I tried to give a quick overview of major dimensionality reduction algorithms. In particular, I like to present algorithms via the problem they are aimed to solve, and not via how they solve it.

Class notes may be found here.