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Specifically, we identified clusters of high and low ratings and explored spatial patterns of clusters of high ratings for different venue categories (i.e., restaurants, fast foods and bars).
The distribution patterns of clusters in Figs. 1, 3, and 4 in the northern part are somewhat different from those in the southern part.
In terms of a spatially constrained algorithm, we could identify clusters of high ratings and further explore spatial patterns of clusters of high ratings.
First, to understand geographical patterns of venues' ratings for different venue categories, we used a "regionalization" method to identify clusters of high or low value star ratings and explored spatial patterns of clusters of high ratings.
Considering cellular layouts with three or six macrocells per site, different rotating patterns of clusters are proposed and the system performance with the proposed sets of clustering patterns is investigated using a simulated annealing algorithm for user scheduling and successive zero-forcing dirty paper coding as the precoding method.
The aberration pattern in cluster A2 was different from the patterns of clusters B1, B2 and B3, indicating that cluster A2 was not a cluster belonging to class B with reduced amplitude in the aberrations.
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When they did this, they found that the pits were clustered exactly as might be expected if they were the result of animals deliberately aiming at each other.Intriguingly, they found two patterns of clustering.
Studying patterns of clustering in these programs reveals that most programs contain multiple substantial coherent clusters.
As depicted in Fig. 2, five different patterns of clustering are possible.
For both layouts, other patterns of clustering could in theory be used, e.g., by coordinating more macrocells together in a cluster.
As depicted in Fig. 1, two different patterns of clustering are possible, in which different adjacent cells cooperate with each other.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com