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The merge process is the same for the two illustrations.

The role of the merge process is to reduce the complexity of the model.

Usually, a merge process is further applied for solving this problem.

The merge process is also called a spectral alignment in other assemblers such as Euler [ 20].

The first step in the merge process is to identify the origin of each mapping.

The merge process is complete when one of the following conditions is met: 1) maximum modularity, 2) maximum size, or 3) maximum module score (Section Weights and significance scoring).

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Other parameters including minimum size of the regions and the threshold value used in merge process were also set in each test.

The final decision is made after the correlation-based SPN merging process is finished.

As for combining SVD precoding and filtering, a simple combining but no merging process is sufficient.

Note that the merging process is done offline in a centralized manner.

The whole merging process is divided into two stages, which are repeatedly executed until no new merging occurs.

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