Sentence examples for cluster partitioning from inspiring English sources

The modification amounted to simply validating each sequence's individual ability to satisfy participation criteria for a cluster based on the non-overlapping cluster partitioning.

The problem inherent in the approach is 'identity collision' - the inappropriate combination of two individuals based on mis-entry of an identifier in one of them, and its coincidence with an identifier belonging to another patient - which we have demonstrated can be addressed by systematic investigation of identifiers within suspect clusters, followed by cluster partitioning.

In this work we present a generic cluster architecture that extends the classical benefits of virtual machines to the cluster level, so providing cluster consolidation, cluster partitioning and support for heterogeneous environments.

For the strains that could not be classified into clonal complexes, cluster partitioning was fully consistent between IS-typing, MLST and AFLP (data not shown).

As described in Methods, we developed and tested by simulation a cluster partitioning algorithm which aimed to detect single, defective identifiers combining two clusters.

LDSelect is designed to select tag SNPs and the cluster partitioning of a gene proceeds by identifying SNPs that capture the effects of other SNPs through LD.

Together with those neurons already containing 25 documents, this resulted in 29,941 clusters partitioning the document set.

Some popular approaches in microarray analysis use either agglomerative methods (hierarchical clustering), partitioning methods (k-medoids, k-means, PAM, SOM, etc).

Substitutes for CPBA clustering include hierarchical clustering, partitioning around medoids [ 48], spectral clustering [ 49], mixture models [ 50], component models [ 51], and many more [ 52- 56].

To examine their overlapping generations in terms of different age cohorts in the field, we performed a K-means clustering, partitioning the observations into 2 clusters, based on date of collection and shell length.

The voxels in cluster d were therefore iteratively clustered using the Ncut clustering approach, partitioning cluster d in 3 sub-RSNs (see method section).