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Similarly, we selected the negatively correlated genes using a correlation threshold of -0.5.
Since all biclusters in the simulated datasets are perfectly correlated, 1 is used as the correlation threshold to run BICLIC, BCCA, and CPB.
The correlation threshold is chosen by trial-and-error.
However, the optimum correlation threshold is not known a priori.
The dashed lines denote the correlation threshold of 0.6.
This mechanism boils down to using a correlation threshold: (6).
One can also increase the correlation threshold for identifying the clusters.
Consequently, an optimal value of correlation threshold ρmax can be determined.
In USS feedback scheme, a correlation threshold R is used in codebook subset.
The sensitivity of the results to streamflow correlation threshold is also examined.
The influence of correlation threshold (i.e. spatial correlation in flow between stations) on classification (i.e. community formation) is examined.
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