Reports and presentations in a course "Matrix Methods in Data Science". These are not formal publications.
- eigen.pdf: This is a note for studying the literature, "Eigenvectors from eigenvalues," Terrence Tao et al.
- eigen_slides.pdf: After studying the literature, I presented it to the class.
- grover_slides.pdf: We presented the well-known Grover's search and BBBV bound in matrix perspective to the class.
- tucker.pdf: This is a report for implementing special cases of the Tucker decomposition.
- spectral_graph.pdf: Restore a 2D embedding from a distance matrix and implement the spectral clustering on such embedding.