Abstract. In this paper, belief functions, defined on the lattice of partitions of a set of objects, are investigated as a suitable framework for combining multiple clusterings. W...
This paper represents a new clustering approach for wireless sensor network. It is a decentralized algorithm having the topology control information in each sensor node. A post lea...
Md. Obaidur Rahman, Byung Goo Choi, Muhammad Mosta...
Cluster tools are representatives of a special kind of tool where process times of jobs depend on the combination in which they are processed together on the tool and hence, depen...
Motivation: Efficient, accurate and automatic clustering of large protein sequence datasets, such as complete proteomes, into families, according to sequence similarity. Detection...
Background: An adaptive coarse-grained (kinetic) Monte Carlo (ACGMC) simulation framework is applied to reaction and diffusion dynamics in inhomogeneous domains. The presented mod...
Stuart Collins, Michail Stamatakis, Dionisios G. V...