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ECSQARU
2009
Springer
15 years 8 months ago
Belief Functions and Cluster Ensembles
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...
Marie-Hélène Masson, Thierry Denoeux
APNOMS
2007
Springer
15 years 8 months ago
A Density Based Clustering for Node Management in Wireless Sensor Network
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...
WSC
2007
15 years 4 months ago
Predicting cluster tool behavior with slow down factors
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...
Robert Unbehaun, Oliver Rose
BIOINFORMATICS
2000
99views more  BIOINFORMATICS 2000»
15 years 1 months ago
GeneRAGE: a robust algorithm for sequence clustering and domain detection
Motivation: Efficient, accurate and automatic clustering of large protein sequence datasets, such as complete proteomes, into families, according to sequence similarity. Detection...
Anton J. Enright, Christos A. Ouzounis
BMCBI
2010
156views more  BMCBI 2010»
15 years 2 months ago
Adaptive coarse-grained Monte Carlo simulation of reaction and diffusion dynamics in heterogeneous plasma membranes
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...