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- W2742302016 abstract "We propose a novel iterative algorithm for nonnegative matrix factorization with the alpha-divergence. The proposed algorithm is based on the coordinate descent and the Newton method. We show that the proposed algorithm has the global convergence property in the sense that the sequence of solutions has at least one convergent subsequence and the limit of any convergent subsequence is a stationary point of the corresponding optimization problem. We also show through numerical experiments that the proposed algorithm is much faster than the multiplicative update rule." @default.
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- W2742302016 date "2017-01-01" @default.
- W2742302016 modified "2023-09-26" @default.
- W2742302016 title "A Novel Newton-Type Algorithm for Nonnegative Matrix Factorization with Alpha-Divergence" @default.
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- W2742302016 doi "https://doi.org/10.1007/978-3-319-70087-8_36" @default.
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