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Since PRRSv-positive status is associated with higher odds of being a PCVAD-positive herd, potential spread of PRRSv or a specific PRRSv genotype might have positively contributed to measures of clustering for PCVAD.
This discrete Laplacian operator is fundamental to networks (Chung, 1997), and here it enables optimization in sequence selection better than the diverse measures of clustering used before (Wilkins et al., 2010).
The effect of using different shape descriptors and number of clusters was studied using four measures of clustering effectiveness.
The index is then a mixture of physical and geometric measures of clustering of location, number, and magnitude (ratio to the size of the earthquake's fracture).
This review was not concerned with summary measures of clustering, but factors that influenced clustering; therefore articles must have included at least one of the covariates.
Multilevel models use measures of clustering and variance in informative ways and can simultaneously model and partition the observed variation across individual and area-levels [ 28, 30, 31].
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GCC, which stands for the global clustering coefficient, is a measure of clustering property of a graph.
Here, |c i | is the size of cluster c i, (phantom {dot {i}}vert omega _{j_{i}}vert ) is the size of the most frequent class, (phantom {dot {i}}omega _{j_{i}}), in cluster c i. Another popular measure of clustering quality is Rand Index [61], which measures the agreement between C and Ω.
The Score is a measure of clustering coefficient between the sub-network components.
As the measure of clustering quality, we use the Kullback Leibler divergence (KLD) as defined in Andreatta et al. (2012).
Link prediction accuracy for held-out edges provides an objective measure of clustering performance for real-world data where the true group structure is fundamentally unknown (Henderson et al., 2010; Park and Bader, 2011).
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