Addressing the interpretability problem of NMF on Boolean data, Boolean
Matrix Factorization (BMF) uses Boolean algebra to decompose the input into
low-rank Boolean factor matrices. These matrices are highly interpretable and
very useful in practice, but they come at the high computati