NIMFA: A Python Library for Nonnegative Matrix Factorization

Abstract

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.

References in corpus (1)

• Algorithms, Initializations, and Convergence for the Nonnegative Matrix Factorization

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