Linearized cluster assignment via spectral ordering

  title={Linearized cluster assignment via spectral ordering},
  author={Chris H. Q. Ding and Xiaofeng He},
Spectral clustering uses eigenvectors of the Laplacian of the similarity matrix. They are most conveniently applied to 2-way clustering problems. When applying to multi-way clustering, either the 2-way spectral clustering is recursively applied or an embedding to spectral space is done and some other methods are used to cluster the points. Here we propose and study a K-way cluster assignment method. The method transforms the problem to find valleys and peaks of a 1-D quantity called cluster… CONTINUE READING
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