A Fast Hierarchical Alternating Least Squares Algorithm for Orthogonal Nonnegative Matrix Factorization

@inproceedings{Kimura2014AFH,
  title={A Fast Hierarchical Alternating Least Squares Algorithm for Orthogonal Nonnegative Matrix Factorization},
  author={Keigo Kimura and Yuzuru Tanaka and Mineichi Kudo},
  booktitle={ACML},
  year={2014}
}
Nonnegative Matrix Factorization (NMF) is a popular technique in a variety of fields due to its component-based representation with physical interpretablity. NMF finds a nonnegative hidden structures as oblique bases and coefficients. Recently, Orthogonal NMF (ONMF), imposing an orthogonal constraint into NMF, has been gathering a great deal of attention. ONMF is more appropriate for the clustering task because the resultant constrained matrix consisting of the coefficients can be considered as… CONTINUE READING

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