Spectral Clustering on Multiple Manifolds

  title={Spectral Clustering on Multiple Manifolds},
  author={Yue Wang and Y. Jiang and Yanqing Wu and Z.-H. Zhou},
  journal={IEEE Transactions on Neural Networks},
Spectral clustering (SC) is a large family of grouping methods that partition data using eigenvectors of an affinity matrix derived from the data. Though SC methods have been successfully applied to a large number of challenging clustering scenarios, it is noteworthy that they will fail when there are significant intersections among different clusters. In this paper, based on the analysis that SC methods are able to work well when the affinity values of the points belonging to different… CONTINUE READING
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