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ESANN
2007
15 years 7 months ago
Self-organized chains for clustering
This paper presents a new algorithm for clustering. It is an generalisation of the K-means algorithms . Each cluster will be represented by a chain of prototypes instead of being r...
Hassan Ghaziri
HCI
2007
15 years 7 months ago
FPF-SB : A Scalable Algorithm for Microarray Gene Expression Data Clustering
Efficient and effective analysis of large datasets from microarray gene expression data is one of the keys to time-critical personalized medicine. The issue we address here is the ...
Filippo Geraci, Mauro Leoncini, Manuela Montangero...
CORIA
2009
15 years 7 months ago
Clustering en recherche d'information : concentration vs distribution de l'information pertinente
Relying on the Cluster Hypothesis, which states that relevant documents tend to be more similar one to each other than to non-relevant ones, most of information retrieval systems p...
Sylvain Lamprier, Tassadit Amghar, Bernard Levrat,...
COR
2007
79views more  COR 2007»
15 years 6 months ago
Lagrangean relaxation with clusters and column generation for the manufacturer's pallet loading problem
We consider in this paper a new lagrangean relaxation with clusters for the Manufacturer’s Pallet Loading Problem (MPLP). The relaxation is based on the MPLP formulated as a Max...
Glaydston Mattos Ribeiro, Luiz Antonio Nogueira Lo...
ADHOC
2005
122views more  ADHOC 2005»
15 years 6 months ago
Maintaining weakly-connected dominating sets for clustering ad hoc networks
An ad hoc network is a multihop wireless communication network supporting mobile users. Network performance degradation is a major problem as the network becomes larger. Clusterin...
Yuanzhu Peter Chen, Arthur L. Liestman