Gonzalez, Edward F.Zhang, Yin2018-06-182018-06-182005-03Gonzalez, Edward F. and Zhang, Yin. "Accelerating the Lee-Seung Algorithm for Nonnegative Matrix Factorization." (2005) <a href="https://hdl.handle.net/1911/102034">https://hdl.handle.net/1911/102034</a>.https://hdl.handle.net/1911/102034Approximate nonnegative matrix factorization is an emerging technique with a wide spectrum of potential applications in data analysis. Currently, the most-used algorithms for this problem are those proposed by Lee and Seung. In this paper we present a variation of one of the Lee-Seung algorithms with a notably improved performance. We also show that algorithms of this type do not necessarily converge to local minima.13 ppengAccelerating the Lee-Seung Algorithm for Nonnegative Matrix FactorizationTechnical reportTR05-02