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The Louvain method of community detection [ 15] uses a greedy optimization method to maximize the modularity and determine the most favorable division of network into communities.
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DIALIGN-T is a segment-based approach, which uses a greedy optimizations procedure for multiple sequence alignment [ 56].
It has been seen that such a uniform rate allocation results in a performance degradation of around 5 dB in terms of SINR compared to a nonuniform allocation obtained using a greedy optimization approach.
BAPS 5.2 uses a "greedy stochastic optimization" algorithm to first assign individuals to a population at a given K value and then to estimate the level of admixture in each individual (the membership probabilities for each individual being assigned to one or more clusters, measured by q) [ 35].
GPSR algorithm uses a greedy algorithm to establish the route.
For example, Mcode uses a greedy algorithm to grow clusters from a seed node [61].
CD-HIT uses a greedy incremental algorithm.
This look-up uses a "greedy" matching algorithm.
We clustered the contigs using Cd-hit [ 33], which uses a greedy incremental algorithm.
The algorithm uses a greedy growth process to find groups in a protein interaction network.
The plaid model uses a greedy search strategy, so errors can accumulate easily.
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CEO of Professional Science Editing for Scientists @ prosciediting.com