A Co-training Approach for Multi-view Spectral Clustering

  title={A Co-training Approach for Multi-view Spectral Clustering},
  author={Abhishek Kumar and Hal Daum{\'e}},
We propose a spectral clustering algorithm for the multi-view setting where we have access to multiple views of the data, each of which can be independently used for clustering. Our spectral clustering algorithm has a flavor of co-training, which is already a widely used idea in semi-supervised learning. We work on the assumption that the true underlying clustering would assign a point to the same cluster irrespective of the view. Hence, we constrain our approach to only search for the… CONTINUE READING
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