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The weights of five MS similarity matrices are set as w i (i=1,…,5) using the CSF curve.
Therefore, in order to exploit this correlation, the generator matrices are set exactly the same for all sensors.
The initial error covariance matrices are set to diag(100,100,10,10) for all the nodes.
Compared to the result in Figure 4(d), the segmentation is smoother because the cluster center coherency matrices are set artificially in a supervised way.
The initialization in Figure 4(c) of primal variables is set to be some circles, which leads that the cluster center coherency matrices are set unreasonable.
The SNR-dependent smoothing parameters a and b in the adaptation of covariance matrices are set to and 0.9, respectively, to make the smoothing factor become 0 and 1 at the SNRs of 30 dB and dB, respectively.
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The dimension of matrices is set by j time steps and m simulated paths.
The values of the matrices were set to 1 if the expression of the gene in the given sample was higher than 2-fold compared to the other group and 0 if not.
The G LAj matrices were set up using the approach of Fernando and Grossman [ 12] based on the segregation probabilities, i.e. the probability of inheriting a paternally or maternally derived allele.
The diagonal elements of the approximation matrix are set to zero7 for consistency with Fig. 3.
For inaccessible points (e.g., walls and closed areas), the values of the layout map matrix are set to be zero.
More suggestions(15)
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com