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» Hierarchical Mixture Models for Nested Data Structures
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AAAI
2007
13 years 10 months ago
Probabilistic Community Discovery Using Hierarchical Latent Gaussian Mixture Model
Complex networks exist in a wide array of diverse domains, ranging from biology, sociology, and computer science. These real-world networks, while disparate in nature, often compr...
Haizheng Zhang, C. Lee Giles, Henry C. Foley, John...
INFOVIS
2002
IEEE
14 years 1 months ago
Beamtrees: Compact Visualization of Large Hierarchies
Beamtrees are a new method for the visualization of large hierarchical data sets. Nodes are shown as stacked circular beams, such that both the hierarchical structure as well as t...
Frank van Ham, Jarke J. van Wijk
DBPL
1997
Springer
90views Database» more  DBPL 1997»
14 years 18 days ago
Implementing Incremental View Maintenance in Nested Data Models
Previous research on materialized views has primarily been in the context of flat relational databases--materialized views defined in terms of one or more flat relations. This pape...
Akira Kawaguchi, Daniel F. Lieuwen, Inderpal Singh...
ISNN
2004
Springer
14 years 1 months ago
Unsupervised Learning for Hierarchical Clustering Using Statistical Information
This paper proposes a novel hierarchical clustering method that can classify given data without specified knowledge of the number of classes. In this method, at each node of a hie...
Masaru Okamoto, Nan Bu, Toshio Tsuji
WSC
1998
13 years 9 months ago
Bayesian Model Selection when the Number of Components is Unknown
In simulation modeling and analysis, there are two situations where there is uncertainty about the number of parameters needed to specify a model. The first is in input modeling w...
Russell C. H. Cheng