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A seeded region growing and merging algorithm has been specifically designed for these irregularly-spaced observations.
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Unlike ε, the thresholds α and β in the merging algorithm have almost no impact on the time demands in determining the backoff function.
State merging algorithms have emerged as the solution of choice for the problem of inferring regular grammars from labeled samples, a known NP-complete problem of great importance in the grammatical inference area.
To achieve this, different identity merge algorithms have been proposed in the past.
The PCA-merging algorithm has also been written in Matlab and the source code is available at http://www2.unil.ch/cbg/index.php?title=PCAmerge.
So clustering scheme for dense small cell network has been studied in this paper, and a maximum benefit merging algorithm based on undirected weighted graph has been proposed.
We have developed both a merging algorithm and a scoring system for molecular interactions based on the proteomics standard initiative molecular interaction standards.
As discussed above, the merging algorithm merges calls that are significantly close to each other, such that both calls are statistically likely (significantly) to have discovered the same insertion or deletion in the genome under consideration.
Our merging algorithm is called VRIP.
An inner front merging algorithm is also presented.
The optimal merging algorithm presented in this work achieves asymptotically optimal parallel efficiency compared to any optimal sequential merging algorithm.
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