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An efficient block model for clustering sparse graphs
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Authors:
Ádám Gyenge
Computer and Automation Research Institute, Hungarian Academy of Sciences
Janne Sinkkonen
Xtract Ltd., Helsinki, Finland
András A. Benczúr
Computer and Automation Research Institute, Hungarian Academy of Sciences
Published in:
· Proceeding
MLG '10
Proceedings of the Eighth Workshop on Mining and Learning with Graphs
Pages 62-69
ACM
New York, NY
, USA
©2010
table of contents
ISBN: 978-1-4503-0214-2
doi>
10.1145/1830252.1830261
2010 Article
Bibliometrics
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· Citation Count: 0
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Tags:
algorithms
block model
collapsed gibbs
data mining
experimentation
hierarchical bayes
latent variables
learning
statistical network analysis
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