Context-aware clustering

@article{Yuan2008ContextawareC,
  title={Context-aware clustering},
  author={Junsong Yuan and Ying Wu},
  journal={2008 IEEE Conference on Computer Vision and Pattern Recognition},
  year={2008},
  pages={1-8}
}
Most existing methods of semi-supervised clustering introduce supervision from outside, e.g., manually label some data samples or introduce constraints into clustering results. This paper studies an interesting problem: can the supervision come from inside, i.e., the unsupervised training data themselves? If the data samples are not independent, we can capture the contextual information reflecting the dependency among the data samples, and use it as supervision to improve the clustering. This… CONTINUE READING

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