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ALMOB
2006
109views more  ALMOB 2006»
15 years 4 months ago
A novel functional module detection algorithm for protein-protein interaction networks
Background: The sparse connectivity of protein-protein interaction data sets makes identification of functional modules challenging. The purpose of this study is to critically eva...
Woochang Hwang, Young-Rae Cho, Aidong Zhang, Mural...
SIGMOD
1999
ACM
183views Database» more  SIGMOD 1999»
15 years 8 months ago
OPTICS: Ordering Points To Identify the Clustering Structure
Cluster analysis is a primary method for database mining. It is either used as a stand-alone tool to get insight into the distribution of a data set, e.g. to focus further analysi...
Mihael Ankerst, Markus M. Breunig, Hans-Peter Krie...
KES
2005
Springer
15 years 10 months ago
Towards Adaptive Clustering in Self-monitoring Multi-agent Networks
A Decentralised Adaptive Clustering (DAC) algorithm for self-monitoring impact sensing networks is presented within the context of CSIRO-NASA Ageless Aerospace Vehicle project. DAC...
Piraveenan Mahendra rajah, Mikhail Prokopenko, Pet...
ICC
2009
IEEE
100views Communications» more  ICC 2009»
15 years 11 months ago
Fair and Flexible Budget-Based Clustering
—An efficient way to bound the size of clusters in large-scale self-organizing wireless networks is to rely on a budget-based strategy. The side effect of conventional budgetbas...
Fehmi Ben Abdesslem, Artur Ziviani, Marcelo Dias d...
PKDD
2010
Springer
146views Data Mining» more  PKDD 2010»
15 years 2 months ago
Nonparametric Bayesian Clustering Ensembles
Forming consensus clusters from multiple input clusterings can improve accuracy and robustness. Current clustering ensemble methods require specifying the number of consensus clust...
Pu Wang, Carlotta Domeniconi, Kathryn Blackmond La...