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This approach requires pre-failure planning for network partitioning.
On the contrary, LEACH-C degrades at a faster rate owing to its inefficient methodologies for network partitioning and head node selection.
The key insight needed to use the mathematical infrastructure described so far for network partitioning, is that separated subnets can be made to appear in the truncated DAG matrix as non-overlapping blocks.
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Neither tiny clusters with one or a few nodes nor a dominant giant cluster are preferable for network partition.
The modularity by MCL is rather low, confirming that MCL is not designed for network partition but for finding protein complexes.
Based on the simulations, a suitable value of β can be from 1 to 2. Here, ADMSC can be compared with the ensemble method, because the ensemble method is supposed to show high clustering performance for network partition [10], but it is not used in our quantitative comparison due to complexity of its procedures.
We have previously described an algorithm for detecting network partitioning among WGD-produced duplicate genes (Conant and Wolfe 2006).
Balanced, non-contiguous graphs appear in several power systems applications such as network partitioning for high performance computing based parallel transient simulators and in wide area control.
Then genetic algorithm is proposed to search near-optimal solution for this network partition problem.
Novel UFLS scheme design and a scheme optimization approach are proposed in this paper to find the optimal load-shedding schemes for different network partition resulted from contingencies.
Recently a Bayesian method for eQTL network partition was developed by Zhang et al. [15].
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