In several contexts and domains, hierarchical agglomerative clustering (HAC) offers best-quality results, but at the price of a high complexity which reduces the size of datasets ...
GA-based clustering algorithms often employ either simple GA, steady state GA or their variants and fail to consistently and efficiently identify high quality solutions (best known...
— Applications raising in many scientific fields exhibit both data and task parallelism that have to be exploited efficiently. A classic approach is to structure those applica...
In this paper we study the problem of scheduling messages between two parallel machines connected by a low latency network during a data redistribution. We compare two approaches....
Coclustering heterogeneous data has attracted extensive attention recently due to its high impact on various important applications, such us text mining, image retrieval, and bioin...