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» Clustering with the Connectivity Kernel
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EDBT
2012
ACM
228views Database» more  EDBT 2012»
11 years 11 months ago
Finding maximal k-edge-connected subgraphs from a large graph
In this paper, we study how to find maximal k-edge-connected subgraphs from a large graph. k-edge-connected subgraphs can be used to capture closely related vertices, and findin...
Rui Zhou, Chengfei Liu, Jeffrey Xu Yu, Weifa Liang...
BMCBI
2006
129views more  BMCBI 2006»
13 years 9 months ago
Functional clustering of yeast proteins from the protein-protein interaction network
Background: The abundant data available for protein interaction networks have not yet been fully understood. New types of analyses are needed to reveal organizational principles o...
Taner Z. Sen, Andrzej Kloczkowski, Robert L. Jerni...
CLUSTER
2002
IEEE
13 years 8 months ago
WCA: A Weighted Clustering Algorithm for Mobile Ad Hoc Networks
In this paper, we propose an on-demand distributed clustering algorithm for multi-hop packet radio networks. These types of networks, also known as ad hoc networks, are dynamic in ...
Mainak Chatterjee, Sajal K. Das, Damla Turgut
BMCBI
2011
13 years 19 days ago
Clustering gene expression data with a penalized graph-based metric
Background: The search for cluster structure in microarray datasets is a base problem for the so-called “-omic sciences”. A difficult problem in clustering is how to handle da...
Ariel E. Bayá, Pablo M. Granitto
BMCBI
2005
97views more  BMCBI 2005»
13 years 9 months ago
The yeast kinome displays scale free topology with functional hub clusters
Background: The availability of interaction databases provides an opportunity for researchers to utilize immense amounts of data exclusively in silico. Recently there has been an ...
Robin E. C. Lee, Lynn A. Megeney