Data Mining: Concepts and Techniques
Data Mining: Concepts and Techniques
Gene tree labeling using nonnegative matrix factorization on biomedical literature
Computational Intelligence and Neuroscience - Advances in Nonnegative Matrix and Tensor Factorization
Matrix Factorization Approach for Feature Deduction and Design of Intrusion Detection Systems
IAS '08 Proceedings of the 2008 The Fourth International Conference on Information Assurance and Security
Editorial: advances in nonnegative matrix and tensor factorization
Computational Intelligence and Neuroscience - Advances in Nonnegative Matrix and Tensor Factorization
Document clustering using nonnegative matrix factorization
Information Processing and Management: an International Journal
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Non-negative matrix factorization is an important method in the analysis of high dimensional datasets. It has a number of applications including pattern recognition, data clustering, information retrieval or computer security. One of its significant drawback lies in its computational complexity. In this paper, we discuss a novel method to allow fast approximate transformation from input space to feature space defined by non-negative matrix factorization.