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The significant advantage of sparse methods is to reduce the complicacy of genes expression data, which makes them easier to understand and interpret. In this paper, we propose a novel Class-information-based Sparse Non-negative Matrix Factorization (CISNMF) method which introduces the class information by the total scatter matrix. Firstly, the total scatter matrix is obtained via combining the between-class...
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