The Relationships Among Various Nonnegative Matrix Factorization Methods for Clustering

@article{Li2006TheRA,
  title={The Relationships Among Various Nonnegative Matrix Factorization Methods for Clustering},
  author={Tao Li and Chris H. Q. Ding},
  journal={Sixth International Conference on Data Mining (ICDM'06)},
  year={2006},
  pages={362-371}
}
The nonnegative matrix factorization (NMF) has been shown recently to be useful for clustering and various extensions and variations of NMF have been proposed recently. Despite significant research progress in this area, few attempts have been made to establish the connections between various factorization methods while highlighting their differences. In this paper we aim to provide a comprehensive study on matrix factorization for clustering. In particular, we present an overview and summary… CONTINUE READING
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