Background: Agglomerative hierarchical clustering (AHC) is a common unsupervised data analysis technique used in several biological applications. Standard AHC methods require that...
: Optimization is a healthy field targeted to find efficient solutions and algorithms to solve problems either in the academia and the industry. As the solved problems became harde...
We focus on clustering gene expression temporal profiles, and propose a novel, simple algorithm that is powerful enough to find an efficient distribution of genes over clusters. We...
Differential evolution (DE) has emerged as one of the fast, robust, and efficient global search heuristics of current interest. This paper describes an application of DE to the aut...
We develop a consistent mutable replication extension for NFSv4 tuned to meet the rigorous demands of largescale data sharing in global collaborations. The system uses a hierarchi...