Sentence examples for clusters for different from inspiring English sources

We dynamically produce separate sets of clusters for different off-chip targets such as memory blocks, so the traffic to the leaders of clusters is much smaller than in static clusters fixed in hardware.

This behavior is described in terms of the magnetic cluster size, the cluster concentration and the interaction between clusters for different compositions and temperatures by fitting the results with the Brillouin function proposed by Beck[2].

Instead of setting up various server clusters for different parts of your application, Mesos creates a shared pool of servers where resources can be allocated dynamically as needed.

The aggregate throughput versus the number of clusters for different values of has been depicted in Figure 6(b).

In the previous two sections, the structural features, distributions and scaffold diversity of 12 libraries have been analyzed, but the relationships among the scaffolds present in clusters for different libraries have not been explored.

Symbols and colors used in the PCoA plots are associated with STRUCTURE clusters for different values of K Fig. 3 Combination of LGM suitability map of Oryza latifolia and (a) the geographical distribution of genetic groups (b) Shannon diversity index measured at sampling sites.

In Figure 6, differences in mean gene expression are shown for the two sub-clusters for different mappings.

By validating the cost of clustering for different qualitatively or quantitatively characteristics, its usefulness can be specified.

Figure9 shows that the values of chi-square distance tend to cluster for different Δ factors and different BR2 values (see plotting with same color).

Fig. 4 Comparison of percentage gain in the xth percentile average achievable rate per user of the rotating clustering scheme relative to fixed clustering, for different rotation speeds and using proportionally fair (PF) scheduling in the six-cell layout.

Moreover, different centroids are obtained for each k when repeating clustering for different starting conditions, which is done to avoid meaningless local minima of the variance function.