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Clustering Graphs and Network Data
- Applications
- Bi-partite graphs, e.g., customers and products, authors and conferences
- Web search engines, e.g., click through graphs and Web graphs
- Social networks, friendship/coauthor graphs
- Similarity measures
- Geodesic distances
- Distance based on random walk (SimRank)
- Graph clustering methods
- Minimum cuts: FastModularity (Clauset, Newman & Moore, 2004)
- Density-based clustering: SCAN (Xu et al., KDD’2007)
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