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The performance of big data analytics application is related to the characteristics of jobs and the configuration of clusters, which have a direct impact on performance of big data analytics applications.
Advantageous clustering is not necessarily the direct outcome of any deliberate planning; many scholars discuss about what might be the "best" (social-economic-spatial) clusters, but the content and the configuration of clusters are really complex, and the best ones for each context are most likely to emerge in a situation of (appropriately constrained) spontaneity (Gordon 2012: 191).191
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For the adatom-substrate interaction, our calculation shows that it is not sensitive to the configuration of cluster and thus E as can approximately be viewed as a linear function of cluster size n, i.e., E as = - n E as 0, where E as 0 refers to the cohesive energy contributed by adatom-substrate interaction of one adatom.
These results are robust to an alternative identification of the most-affected counties, inclusion of counties from comparison states, limiting the control group to only high-poverty counties from comparison states, exclusion of county-specific time trends, and different configuration of clustered errors.
Moreover, coverage metrics for different configurations of clusters are defined.
Since, according to step (4.4) and (5) of Algorithm 1, the final clustering is (3). is a clustering configuration consisting of clusters of various sizes, and the size of a cluster is.
Loose (a) and compact (b) configurations of cluster n = 126.
When the Washington and Colorado populations are included, several stable configurations of cluster assignments were evident: K = 2, K = 3 and K = 5.
Globally, the spatio-temporal compromise between these two tendencies results in a configuration of large clusters separated by fast flow streams.
The atomic configuration of the clusters was determined by comparing displacement maps from high-resolution TEM images to those predicted by atomistic models.
Once an acceptably optimum configuration of neighboring clusters was achieved, the optimum routing was obtained by calculating the sequence that the transports involved in the process should follow and defining the shovel node associated with each cluster.
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