Abstract
This paper proposes parallel methods of non-negative sparse large matrix factorization. The described methods are tested and compared on large matrices processing.
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Anisimov, A., Marchenko, O., Nasirov, E., Palamarchuk, S. (2014). A Method for Parallel Non-negative Sparse Large Matrix Factorization. In: Sojka, P., Horák, A., Kopeček, I., Pala, K. (eds) Text, Speech and Dialogue. TSD 2014. Lecture Notes in Computer Science(), vol 8655. Springer, Cham. https://doi.org/10.1007/978-3-319-10816-2_42
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DOI: https://doi.org/10.1007/978-3-319-10816-2_42
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-10815-5
Online ISBN: 978-3-319-10816-2
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