Clustering with feature order preferences

  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.},
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
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Convex Optimization

  • S. Boyd, L. Vandenberghe
  • Cambridge University Press
  • 2004
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