Semi-supervised Graph Clustering: A Kernel Approach

Posted in Science on August 01, 2008


Semi-supervised Graph Clustering: A Kernel Approach

Lecture slides:

  • Semi-supervised Clustering
  • Two Circles
  • Graph-Based Data
  • Main Contributions
  • Weighted Kernel k-means [Dhi04]
  • Graph Clustering
  • HMRF_KMeans Clustering
  • Semi-supervised Graph Clustering
  • Algorithm
  • Experimental Methodology
  • Handwritten Digits Data
  • Yeast Gene Network Data
  • Conclusion
  • References

Author: Brian Kulis, University of Texas

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Tags: Science, Lectures, Computer Science, Clustering, Machine Learning, VideoLectures.Net, Kernel Methods