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A Python Library for Nonnegative Matrix Factorization Techniques

Project description

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. Both dense and sparse matrix representation are supported.

Nimfa comes with extensive documentation and working examples that demonstrate real applications. Several visualization methods are provided to help with the interpretation and comprehension of the results.

Reference

Marinka Zitnik, Blaz Zupan. Nimfa: A Python Library for Nonnegative Matrix Factorization, Journal of Machine Learning Research, 13, 849–853, 2012.

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