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.

• Type: Journal
• Year: 2012
• Where: JMLR
• Authors: Marinka Zitnik, Blaz Zupan
• Keywords: Factorization Algorithms, JMLR 2012, Matrix Factorization, Programming Languages, Python Library