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...
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 ...
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,...
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...
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...