Developing Genetic Algorithms for Boolean Matrix Factorization
Václav Snåšel, Jan Platoš, Pavel Krömer · DATESO · 2008
Matrix factorization or factor analysis is an important task helpful in the analysis of high dimensional real world data. There are sev- eral well known methods and algorithms for factorization of real data but many application areas including information retrieval, pattern recogni- tion and data mining require processing of binary rather than real data. Unfortunately, the methods used for real matrix factorization fail in the latter case. In this paper we introduce background and initial version of Genetic Algorithm for binary matrix factorization.