Nonnegative matrix factorization (NMF) has become a widely used tool for the analysis of
high-dimensional data as it automatically extracts sparse and meaningful features from a set …

Identifying the underlying structure of a data set and extracting meaningful information is a
key problem in data analysis. Simple and powerful methods to achieve this goal are linear …

Binary matrix factorization is an essential tool for identifying discrete patterns in binary data.
In this paper, we consider the rank-k binary matrix factorization problem (k-BMF) under …

For a binary matrix X, the Boolean rank br (X) is the smallest integer for which X can be
factorised into the Boolean matrix product of two binary matrices A and B with inner …