Spectral clustering with eigenvector selection based on entropy ranking

@article{Zhao2010SpectralCW,
  title={Spectral clustering with eigenvector selection based on entropy ranking},
  author={Feng Zhao and Licheng Jiao and Hanqiang Liu and Xinbo Gao and Maoguo Gong},
  journal={Neurocomputing},
  year={2010},
  volume={73},
  pages={1704-1717}
}
Ng–Jordan–Weiss (NJW) method is one of the most widely used spectral clustering algorithms. For a K clustering problem, this method partitions data using the largest K eigenvectors of the normalized affinity matrix derived from the dataset. It has been demonstrated that the spectral relaxation solution of K-way grouping is located on the subspace of the… CONTINUE READING