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» Large-Scale Parallel Data Clustering
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128
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CCGRID
2006
IEEE
15 years 6 months ago
Compilation of XSLT into Dataflow Graphs for Web Service Composition
Our current research into programming models for parallel web services composition is targeted at providing mechanisms for obtaining higher throughput for large scale compute and ...
Peter M. Kelly, Paul D. Coddington, Andrew L. Wend...
106
Voted
IPPS
2010
IEEE
15 years 16 days ago
Large-scale multi-dimensional document clustering on GPU clusters
Document clustering plays an important role in data mining systems. Recently, a flocking-based document clustering algorithm has been proposed to solve the problem through simulat...
Yongpeng Zhang, Frank Mueller, Xiaohui Cui, Thomas...
145
Voted
EUROPAR
2004
Springer
15 years 6 months ago
Efficient Parallel Hierarchical Clustering
Hierarchical agglomerative clustering (HAC) is a common clustering method that outputs a dendrogram showing all N levels of agglomerations where N is the number of objects in the d...
Manoranjan Dash, Simona Petrutiu, Peter Scheuerman...
102
Voted
IJAR
2007
113views more  IJAR 2007»
15 years 2 months ago
Fuzzy clustering in parallel universes
We present an extension of the fuzzy c-Means algorithm, which operates simultaneously on different feature spaces—so-called parallel universes—and also incorporates noise det...
Bernd Wiswedel, Michael R. Berthold
138
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BMCBI
2007
148views more  BMCBI 2007»
15 years 2 months ago
Evaluation of gene-expression clustering via mutual information distance measure
Background: The definition of a distance measure plays a key role in the evaluation of different clustering solutions of gene expression profiles. In this empirical study we compa...
Ido Priness, Oded Maimon, Irad E. Ben-Gal