15-750: Some Python Notebooks

Singular Value Decompositions

• Using SVD for data visualization and clustering: html and jupyter notebook.
  (This is a lightly edited version of a page from the internet that I've lost the link to. If you know the right citation, please send to me!)


• Graph eigenvalues and finding cuts: html and jupyter notebook.
  We construct the edge-vertex incidence matrix we considered in HW4 and look at the top/bottom singular vectors to find good cuts.


• Using SVD for document similarity: html and jupyter notebook. (from Frank Cleary)


• Using SVD for image compression: html and jupyter notebook. (from Frank Cleary)

Linear Programming and Sparse Recovery

• Compressive sensing: html and jupyter notebook.
  We use basis pursuit (L1 minimization) for sparst signal recovery.