Initialization enhancer for non-negative matrix factorization

@article{Zheng2007InitializationEF,
  title={Initialization enhancer for non-negative matrix factorization},
  author={Zhonglong Zheng and Jie Yang and Yitan Zhu},
  journal={Eng. Appl. of AI},
  year={2007},
  volume={20},
  pages={101-110}
}
Non-negative matrix factorization (NMF), proposed recently by Lee and Seung, has been applied to many areas such as dimensionality reduction, image classification image compression, and so on. Based on traditional NMF, researchers have put forward several new algorithms to improve its performance. However, particular emphasis has to be placed on the initialization of NMF because of its local convergence, although it is usually ignored in many documents. In this paper, we explore three… CONTINUE READING
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