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» Significance-Driven Graph Clustering
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UAI
2003
15 years 5 months ago
Learning Generative Models of Similarity Matrices
Recently, spectral clustering (a.k.a. normalized graph cut) techniques have become popular for their potential ability at finding irregularlyshaped clusters in data. The input to...
Rómer Rosales, Brendan J. Frey
ICPADS
1998
IEEE
15 years 8 months ago
Symbolic Partitioning and Scheduling of Parameterized Task Graphs
The DAG-based task graph model has been found effective in scheduling for performance prediction and optimization of parallel applications. However the scheduling complexity and s...
Michel Cosnard, Emmanuel Jeannot, Tao Yang
174
Voted
WAW
2007
Springer
162views Algorithms» more  WAW 2007»
15 years 10 months ago
Random Dot Product Graph Models for Social Networks
Inspired by the recent interest in combining geometry with random graph models, we explore in this paper two generalizations of the random dot product graph model proposed by Kraet...
Stephen J. Young, Edward R. Scheinerman
IV
2006
IEEE
127views Visualization» more  IV 2006»
15 years 10 months ago
Fisheye Tree Views and Lenses for Graph Visualization
We present interactive visual aids to support the exploration and navigation of graph layouts. They include Fisheye Tree Views and Composite Lenses. These views provide, in an int...
Christian Tominski, James Abello, Frank van Ham, H...
KDD
2007
ACM
168views Data Mining» more  KDD 2007»
16 years 4 months ago
A probabilistic framework for relational clustering
Relational clustering has attracted more and more attention due to its phenomenal impact in various important applications which involve multi-type interrelated data objects, such...
Bo Long, Zhongfei (Mark) Zhang, Philip S. Yu