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- W2523603706 abstract "The purpose of this article is to determine the usefulness of the K-means method applied to decompose and reduce the TERM-BY-DOCUMENT matrix with use of the GPU computations. The reduction based on the truncated SVD decomposition is a long-term process for large matrices. The computational complexity of the SVD decomposition is O(n3). The use of the K-means decomposition before reduction should reduce the computational complexity. In addition, the use of the GPU should reduce the time of the whole process. In the article there is comparison of the times and the correctness of the results for the computing environments associated with the GPU." @default.
- W2523603706 created "2016-09-30" @default.
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- W2523603706 date "2016-09-24" @default.
- W2523603706 modified "2023-10-18" @default.
- W2523603706 title "Decomposition and Reduction of Indexing Structures with Use of the GPU Computations" @default.
- W2523603706 cites W2108316317 @default.
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- W2523603706 doi "https://doi.org/10.1007/978-3-319-46586-9_18" @default.
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