Document Clustering Based on Spectral Clustering and Non-negative Matrix Factorization

@inproceedings{Bao2008DocumentCB,
  title={Document Clustering Based on Spectral Clustering and Non-negative Matrix Factorization},
  author={Lei Bao and Sheng Tang and Jintao Li and Yongdong Zhang and Wei-ping Ye},
  booktitle={IEA/AIE},
  year={2008}
}
In this paper, we propose a novel non-negative matrix factorization (NMF) to the affinity matrix for document clustering, which enforces nonnegativity and orthogonality constraints simultaneously. With the help of orthogonality constraints, this NMF provides a solution to spectral clustering, which inherits the advantages of spectral clustering and presents a much more reasonable clustering interpretation than the previous NMF-based clustering methods. Furthermore, with the help of non… CONTINUE READING
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