NIMFA : A Python Library for Nonnegative Matrix Factorization

NIMFA is an open-source Python library that provides a unified interface to nonnegative matrix factorization algorithms. It includes implementations of state-of-the-art factorization methods, initialization approaches, and quality scoring. It supports both dense and sparse matrix representation. NIMFA's component-based implementation and hierarchical design should help the users to employ already implemented techniques or design and code new strategies for matrix factorization tasks. [abs] [ pdf ][ bib ] [ code ] © JMLR 2012. (edit, beta)