A convergent algorithm for orthogonal nonnegative matrix factorization

• Autores: Andri Mirzal
• Localización: Journal of computational and applied mathematics, ISSN 0377-0427, Vol. 260, Nº 1, 2014, págs. 149-166
• Idioma: inglés
• DOI: 10.1016/j.cam.2013.09.022
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• Resumen

  • This paper proposes a convergent algorithm for nonnegative matrix factorization (NMF) with orthogonality constraint on the factors.Wedesign the algorithm based on the additive update rule algorithm for the standard NMF proposed by Lee and Seung, and derive the convergent version by generalizing the convergence proof of the algorithm developed by Lin. Further we use the proposed algorithms to improve clustering capability of the standardNMFusing the Reuter document corpus, a standard dataset in clustering research.