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- W2135687586 abstract "In this paper, we propose a Locality Between-locality Embedding Nonnegative Matrix Factorization (LBENMF) in order to investigate the underlying subspace structure of a data set. The idea is to extend the NMF algorithm by incorporating the local structure, the between-locality information constraints into the original NMF decomposition. Therefore the latent semantic space with locality, between-locality information preserving properties are obtained from the given data set by using LBENMF. Our experimental results show that the effectiveness of the proposed LBENMF method." @default.
- W2135687586 created "2016-06-24" @default.
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- W2135687586 date "2010-05-01" @default.
- W2135687586 modified "2023-09-27" @default.
- W2135687586 title "Locality Between-Locality Embedding Nonnegative Matrix Factorization" @default.
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- W2135687586 doi "https://doi.org/10.1109/icicta.2010.545" @default.
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