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» On the Comparability of Software Clustering Algorithms
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GECCO
2007
Springer
209views Optimization» more  GECCO 2007»
14 years 2 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
CLUSTER
2007
IEEE
14 years 2 months ago
Dynamic scheduling of multi-processor tasks on clusters of clusters
— In this article we tackle the problem of scheduling a dynamically generated DAG of multi-processor tasks (M-tasks). At first, we outline the need of such a scheduling approach...
Sascha Hunold, Thomas Rauber, Gudula Rünger
CSDA
2006
91views more  CSDA 2006»
13 years 7 months ago
Model-based cluster and discriminant analysis with the MIXMOD software
The mixmod (mixture modeling) program fits mixture models to a given data set for the purposes of density estimation, clustering or discriminant analysis. A large variety of algor...
Christophe Biernacki, Gilles Celeux, Gérard...
BMCBI
2008
169views more  BMCBI 2008»
13 years 8 months ago
CompMoby: Comparative MobyDick for detection of cis-regulatory motifs
Background: The regulation of gene expression is complex and occurs at many levels, including transcriptional and post-transcriptional, in metazoans. Transcriptional regulation is...
Christina Chaivorapol, Collin Melton, Grace Wei, R...
BMCBI
2010
121views more  BMCBI 2010»
13 years 5 months ago
A grammar-based distance metric enables fast and accurate clustering of large sets of 16S sequences
Background: We propose a sequence clustering algorithm and compare the partition quality and execution time of the proposed algorithm with those of a popular existing algorithm. T...
David J. Russell, Samuel F. Way, Andrew K. Benson,...