Active spectral clustering via iterative uncertainty reduction

  title={Active spectral clustering via iterative uncertainty reduction},
  author={Fabian L. Wauthier and Nebojsa Jojic and Michael I. Jordan},
Spectral clustering is a widely used method for organizing data that only relies on pairwise similarity measurements. This makes its application to non-vectorial data straight-forward in principle, as long as all pairwise similarities are available. However, in recent years, numerous examples have emerged in which the cost of assessing similarities is substantial or prohibitive. We propose an active learning algorithm for spectral clustering that incrementally measures only those similarities… CONTINUE READING
Highly Cited
This paper has 49 citations. REVIEW CITATIONS
33 Citations
6 References
Similar Papers


Publications citing this paper.
Showing 1-10 of 33 extracted citations


Publications referenced by this paper.
Showing 1-6 of 6 references

Similar Papers

Loading similar papers…