Clustering with feature order preferences

@article{Sun2010ClusteringWF,
  title={Clustering with feature order preferences},
  author={Jun Sun and Wenbo Zhao and Jiangwei Xue and Zhiyong Shen and Yi-Dong Shen},
  journal={Intell. Data Anal.},
  year={2010},
  volume={14},
  pages={479-495}
}
We propose a clustering algorithm that effectively utilizes feature order preferences, which have the form that feature s is more important than feature t. Our clustering formulation aims to incorporate feature order preferences into prototype-based clustering. The derived algorithm automatically learns distortion measures parameterized by feature weights which will respect the feature order preferences as much as possible. Our method allows the use of a broad range of distortion measures such… CONTINUE READING
7 Citations
31 References
Similar Papers

References

Publications referenced by this paper.
Showing 1-10 of 31 references

Convex Optimization

  • S. Boyd, L. Vandenberghe
  • Cambridge University Press
  • 2004
Highly Influential
5 Excerpts

Similar Papers

Loading similar papers…