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Once the components were reordered, the canonical response variability was then computed as the ratio of each (reordered) canonical response variance across the last 15 iterations of the NNMF algorithm to the corresponding canonical response mean square (both quantities being averaged across time).
As before, this artificial codebook matrix can be used for sample-specific component reordering and visualisation (see Fig. 3B).
Both reordered components now exhibit the characteristic power-law decay in their individual rank-frequency spectra with similar selection coefficients, again in the range of a few percent.
The observed counts in our original clustering were compared with those obtained from the reordered list.
Furthermore, we suggest that the components of Figure 3 ought to be reordered.
In architecture design, the proposed algorithm with data reordering scheme is adopted.
Since the order of canonical responses at each bootstrap iteration might change, we first reordered the K components of each iteration so that they match together.
The admitting doctors verified the data with patients and indicated which home medications were to be reordered, suspended or discontinued.
Doctors verified the data with patients and indicated which home medications were to be reordered, suspended or discontinued.
Similarly, computer scientists are intrigued by the problem, because it has parallels with reordering disorganised data.
The present SPH method uses an OpenMP memory-shared parallelization in conjunction with Z-curve reordering to accelerate the computation.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com