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The DAT is a multiway tree that uses a greedy tree-structuring algorithm to construct a hierarchical tree based on the physical structure of a wireless sensor network.
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The SpanningTree class uses a greedy algorithm [12] to sequentially build up this tree.
In particular, ASTRAL-2 constrains the search space based on the input gene trees, and then finds an optimal solution within that constrained space, but wQMC uses a greedy heuristic and does not constrain the search.
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.
Additionally, for each objective, we use a greedy construction algorithm.
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