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