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NIMFA : a Python library for nonnegative matrix factorization
Žitnik, Marinka (Author), Zupan, Blaž (Author)

URLURL - Presentation file, Visit http://jmlr.csail.mit.edu/papers/volume13/zitnik12a/zitnik12a.pdf This link opens in a new window

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.

Language:English
Keywords:nenegativna matrična faktorizacija, programska oprema, knjižnica, Python
Work type:Not categorized (r6)
Tipology:1.01 - Original Scientific Article
Organization:FRI - Faculty of computer and information science
Year:2012
Number of pages:str. 849-853
Numbering:Vol. 13, 13
UDC:004
ISSN on article:1532-4435
COBISS.SI-ID:9067604 Link is opened in a new window
Views:867
Downloads:201
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Record is a part of a journal

Title:Journal of machine learning research
Shortened title:J. mach. learn. res.
Publisher:MIT Press
ISSN:1532-4435
COBISS.SI-ID:2805844 This link opens in a new window

Secondary language

Language:Unknown
Keywords:nonnegative matrix factorization, program, library, Python

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