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» Significance-Driven Graph Clustering
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CCE
2006
15 years 4 months ago
New approaches for representing, analyzing and visualizing complex kinetic transformations
Complex kinetic mechanisms involving thousands of reacting species and tens of thousands of reactions are currently required for the rational analysis of modern combustion systems...
Ioannis P. Androulakis
BMCBI
2005
120views more  BMCBI 2005»
15 years 4 months ago
SpectralNET - an application for spectral graph analysis and visualization
Background: Graph theory provides a computational framework for modeling a variety of datasets including those emerging from genomics, proteomics, and chemical genetics. Networks ...
Joshua J. Forman, Paul A. Clemons, Stuart L. Schre...
IM
2008
15 years 4 months ago
Directed Random Dot Product Graphs
In this paper we consider three models for random graphs that utilize the inner product as their fundamental object. We analyze the behavior of these models with respect to cluster...
Stephen J. Young, Edward R. Scheinerman
KDD
2005
ACM
160views Data Mining» more  KDD 2005»
16 years 4 months ago
Consistent bipartite graph co-partitioning for star-structured high-order heterogeneous data co-clustering
Heterogeneous data co-clustering has attracted more and more attention in recent years due to its high impact on various applications. While the co-clustering algorithms for two t...
Bin Gao, Tie-Yan Liu, Xin Zheng, QianSheng Cheng, ...
ICC
2008
IEEE
167views Communications» more  ICC 2008»
15 years 11 months ago
Clustering Large Optical Networks for Distributed and Dynamic Multicast
—For a large-scale mesh network with dynamic traffic, maintaining the global state information in a centralized fashion is impractical. Hence, distributed schemes are needed to ...
Mohammad Masud Hasan, Jason P. Jue