Clustering on Complex Graphs

@inproceedings{Long2008ClusteringOC,
  title={Clustering on Complex Graphs},
  author={Bo Long and Zhongfei Zhang and Philip S. Yu and Tianbing Xu},
  booktitle={AAAI},
  year={2008}
}
Complex graphs, in which multi-type nodes are linked to each other, frequently arise in many important applications, such as Web mining, information retrieval, bioinformatics, and epidemiology. In this study, We propose a general framework for clustering on complex graphs. Under this framework, we derive a family of clustering algorithms including both hard and soft versions, which are capable of learning cluster patterns from complex graphs with various structures and statistical properties… CONTINUE READING

From This Paper

Figures, tables, and topics from this paper.

Citations

Publications citing this paper.
Showing 1-10 of 11 extracted citations

High-level semantic image annotation based on hot Internet topics

Multimedia Tools and Applications • 2013
View 5 Excerpts
Highly Influenced

Arc-Community Detection via Triangular Random Walks

2012 Eighth Latin American Web Congress • 2012
View 1 Excerpt

Detecting Communities in K-Partite K-Uniform (Hyper)Networks

Journal of Computer Science and Technology • 2011
View 1 Excerpt

Similar Papers

Loading similar papers…