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» Improving cluster availability using workstation validation
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ICPR
2008
IEEE
14 years 8 months ago
Active query selection for semi-supervised clustering
Semi-supervised clustering allows a user to specify available prior knowledge about the data to improve the clustering performance. A common way to express this information is in ...
Anil K. Jain, Pavan Kumar Mallapragada, Rong Jin
BMCBI
2010
169views more  BMCBI 2010»
13 years 7 months ago
eCOMPAGT integrates mtDNA: import, validation and export of mitochondrial DNA profiles for population genetics, tumour dynamics
Background: Mitochondrial DNA (mtDNA) is widely being used for population genetics, forensic DNA fingerprinting and clinical disease association studies. The recent past has uncov...
Hansi Weißensteiner, Sebastian Schönher...
GECCO
2007
Springer
209views Optimization» more  GECCO 2007»
14 years 1 months ago
Kernel based automatic clustering using modified particle swarm optimization algorithm
This paper introduces a method for clustering complex and linearly non-separable datasets, without any prior knowledge of the number of naturally occurring clusters. The proposed ...
Ajith Abraham, Swagatam Das, Amit Konar
MLMTA
2007
13 years 9 months ago
A Novel Hybrid Neural Network for Data Clustering
- Clustering plays an indispensable role for data analysis. Many clustering algorithms have been developed. However, most of them suffer either poor performance of unsupervised lea...
Donghai Guan, Andrey Gavrilov, Weiwei Yuan, Young-...
IPPS
1999
IEEE
13 years 12 months ago
High Performance Computing for the Masses
Abstract. Recent advances in software and hardware for clustered computing have allowed scientists and computing specialists to take advantage of commodity processors in solving ch...
Mark J. Clement, Quinn Snell, Glenn Judd