What Can FCA-Based Boolean Matrix Factorization Do for Object-Attribute Biclustering?

We introduce preliminary results from an ongoing study on FCA-based Boolean Matrix Factorization (BMF) and its application in object-attribute biclusters enumeration. Namely, we show that standard methods may overlook some object-attribute biclusters, and we propose a novel factor extension approach that can add some of the overlooked biclusters. The presented method computes biclusters employing logic similar to that of standard methods. Additionally, we outline the utilization of a well-known technique used in BMF and present topics for future research.