81 citations · 81 across the 2 of their papers we have counts for
3 papers
cs.IR2026
GreCon3: Mitigating High Resource Utilization of GreCon Algorithms for Boolean Matrix Factorization
Petr Krajča, Martin Trnecka
Boolean matrix factorization (BMF) is a fundamental tool for analyzing binary data and discovering latent information hidden in the data. Formal Concept Analysis (FCA) provides us…
cs.LG2019
From-Below Boolean Matrix Factorization Algorithm Based on MDL
Tatiana Makhalova, Martin Trnecka
During the past few years Boolean matrix factorization (BMF) has become an important direction in data analysis. The minimum description length principle (MDL) was successfully ada…
math.NA2013★ 81 cited
From-Below Approximations in Boolean Matrix Factorization: Geometry and New Algorithm
Radim Belohlavek, Martin Trnecka
We present new results on Boolean matrix factorization and a new algorithm based on these results. The results emphasize the significance of factorizations that provide from-below…