International Conference on Machine Learning - Bonn 2005

Semi-supervised Graph Clustering: A Kernel Approach

author: Brian Kulis, University of Texas

Categories

Top: Computer Science: Machine Learning: Clustering
Top: Computer Science: Machine Learning: Kernel Methods

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*Slides*
0:11	Semi-supervised Graph Clustering: A Kernel Approach
0:25	Semi-supervised Clustering
0:41	Semi-supervised Clustering
0:58	Semi-supervised Clustering
1:14	Semi-supervised Clustering
2:25	Two Circles
2:57	Graph-Based Data
3:19	Graph-Based Data
3:49	Graph-Based Data
4:19	Main Contributions
4:45	Main Contributions
5:24	Main Contributions
5:34	Main Contributions
5:42	Main Contributions
6:03	Weighted Kernel k-means [Dhi04]
8:31	Graph Clustering
9:40	HMRF_KMeans Clustering
11:51	HMRF_KMeans Clustering
12:26	HMRF_KMeans Clustering
13:18	Semi-supervised Graph Clustering
14:04	Semi-supervised Graph Clustering
14:19	Semi-supervised Graph Clustering
14:47	Semi-supervised Graph Clustering
15:38	Algorithm
16:55	Experimental Methodology
17:30	Experimental Methodology
17:52	Handwritten Digits Data
18:55	Yeast Gene Network Data
19:20	Conclusion
20:10	References

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