Sentence examples for high density cluster from inspiring English sources
A new report commissioned from research giant GfK claims that the growth of the high density cluster of technology companies in East London (dubbed Tech City by the UK government) is being "stunted" by a talent shortage and lack of access to capital.
The net impact on groundwater quality from high density clusters of unsewered housing across a range of hydro geo)logical settings has been assessed.
In general, highest scores are computed for proteins that are connected to many other proteins within large cliques or high density clusters.
In this way, samples of 50% or 25 allow a 2 4-fold speedup while having a high probability to identify at least one of the instances of the underlying high density clusters of size >2 4-fold respeedupely.
These high density clusters could correspond to the centromeric regions of chromosomes where large physical distances correspond to small genetic distances, a feature that has been seen before in sorghum [ 28].
While certain control over the DNA surface density was possible, it was difficult to control the dispersion of DNA molecules within the film, where high density clusters of DNA molecules could be formed, in which the DNA-binding protein could hardly find its specific sequence or recognize the DNA structure.
After making clusters we tried to find hosts for the VMs that came from highest density cluster, which means, we give highest priorities to the virtual machines that are the members of mostly dense cluster.
In fact, only one other genomic location, on Fvb5, contains a higher density cluster of PPRs.
If the points within the highest density cluster formed more than one sub-clusters, the two steps were re-applied for this cluster only.
It is worth mentioning that the highest density cluster consisted of more than 70% of all points for the vast majority of users.
Afterwards, the highest density cluster was selected and the central point (the point that had the smallest accumulated distance to all other points in the cluster) was calculated, which represents the estimated home location of a user.
