Matrices

Non-negative matrix factorization (NMF) is a technique in matrix algebra used to factor a matrix into 2 sub-matrices. NMF proves to be very useful in data clustering and analyzing raw data. We will discuss research on the work of Berry et al. regarding factorization and analysis of the Enron email corpus. Additionally, we will consider how researchers can use NMF to analyze data and discuss NMF as a useful tool for researchers outside of mathematics.