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127
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EDBT
2004
ACM
192views Database» more  EDBT 2004»
16 years 2 months ago
LIMBO: Scalable Clustering of Categorical Data
Abstract. Clustering is a problem of great practical importance in numerous applications. The problem of clustering becomes more challenging when the data is categorical, that is, ...
Periklis Andritsos, Panayiotis Tsaparas, Ren&eacut...
GFKL
2004
Springer
117views Data Mining» more  GFKL 2004»
15 years 7 months ago
Cluster Ensembles
Cluster ensembles are collections of individual solutions to a given clustering problem which are useful or necessary to consider in a wide range of applications. The R package˜c...
Kurt Hornik
89
Voted
CCGRID
2003
IEEE
15 years 7 months ago
Magnetic Resonance Imaging (Mri) Simulation On A Grid Computing Architecture
In this paper, we present the implementation of a Magnetic Resonance Imaging (MRI) simulator on a GRID computing architecture. The simulation process is based on the resolution of...
Hugues Benoit-Cattin, F. Bellet, Johan Montagnat, ...
BMCBI
2004
87views more  BMCBI 2004»
15 years 1 months ago
Selection of informative clusters from hierarchical cluster tree with gene classes
Background: A common clustering method in the analysis of gene expression data has been hierarchical clustering. Usually the analysis involves selection of clusters by cutting the...
Petri Törönen
101
Voted
HPDC
2005
IEEE
15 years 7 months ago
A model for cooperative federation of distributed clusters
Interest in Grid computing has grown significantly over the past five years. Management of distributed cluster resources is a key issue in Grid computing. Central to management ...
Rajiv Ranjan, Rajkumar Buyya, Aaron Harwood