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Data-Aware Scheduling Strategy for Scientific Workflow Applications in IaaS Cloud Computing
Scientific workflows benefit from the cloud computing paradigm, which offers access to virtual resources provisioned on pay-as-you-go and on-demand basis. Minimizing resources costs to meet user’s budget is very important ...
A Rough-Fuzzy approach for Support Vector Clustering
(Elsevier, 2016)
Support Vector Clustering (SVC) is an important density-based clustering algorithm which can be applied in many real world applications given its ability to handle arbitrary cluster silhouettes and detect the number of ...
Evolving clusters in gene-expression data
(Elsevier Science IncNew YorkEUA, 2006)
A divisive clustering method for functional data with special consideration of outliers
(Springer, 2017-08)
This paper presents DivClusFD, a new divisive hierarchical method for the non-supervised classification of functional data. Data of this type present the peculiarity that the differences among clusters may be caused by ...
A dynamic clustering algorithm for building overlapping clusters
(IOS Press, 2012)
GibbsCluster: unsupervised clustering and alignment of peptide sequences
(Oxford University Press, 2017-04)
Receptor interactions with short linear peptide fragments (ligands) are at the base of many biological signaling processes. Conserved and information-rich amino acid patterns, commonly called sequence motifs, shape and ...
On the role of PES data in the identification of metal-metal charge transfer bands in clusters of clusters
(Elsevier Science Publ. B.V., 1993)
The clusters of M2[O2CCCo3(CO)9]4-n[O2CR]n, where M is Cr, n= O; where M is Mo, n = 0,1, R is CH3; where M is W, n=0; exhibit allowed transitions with absorvance maxima that correlate with the lowest ionization energy of ...