Hub selection for hub based clustering algorithms

  title={Hub selection for hub based clustering algorithms},
  author={Zhenfeng He},
  journal={2014 11th International Conference on Fuzzy Systems and Knowledge Discovery (FSKD)},
Hubs are the data instances appearing frequently on the nearest neighbours lists. As the hubs of a high-dimensional dataset are close to the centres of clusters or sub-clusters, some of them are selected as the centres of clusters by hub based clustering algorithms. In the process of hub selection, these algorithms rank data instances in terms of their global hubness scores computed upon their nearest neighbours lists, ignoring cluster related information such as their labels, their and their… CONTINUE READING
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The Challenges of Clustering High Dimensional Data

  • M. Steinbach, L. Ertz, V. Kumar
  • New Directions in Statistical Physics,
  • 2004
Highly Influential
4 Excerpts

Lichman, UCI Machine Learning Repository [], Irvine, CA: University of California

  • M.K.Bache
  • School of Information and Computer Science,
  • 2014
1 Excerpt

Mladenic,Class imbalance and the curse of minority

  • D. N. Tomasev
  • hubs,Knowledge-Based Systems,
  • 2013
3 Excerpts

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