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However, it is important to determine the suitable value of inertia constant for these systems such that the frequency stability is preserved with a lower cost.
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Generally, a random hit-and-trial method or prior experience is required to determine the suitable values of design parameters.
Moreover, the effect of parameter setting is investigated by using the Taguchi method of design of experiment (DOE) to determine the suitable values for key parameters.
Moreover, the influence of the parameter setting is also investigated using the Taguchi method of the design-of-experiment (DOE) to determine the suitable values for the key parameters.
In the rest of this section, evaluation tests are then carried out so as to determine the suitable values for each parameter used.
In this study, the maximum cluster radius (Euclidean distance) is used as an index to evaluate the clustering effect and determine the suitable K value.
Therefore, in these approaches, the value of ℓ has to be chosen accurately; while it is difficult to exactly determine the most suitable value for this parameter.
Regarding to the parameterization, our multikernel contains internal procedures to determine the most suitable value for each kernel parameter during the classification process (see previous sections).
The suitable value for Smax can easily be determined.
Three Markov chains were run for the trait and the acceptance rate was monitored for the newly proposed values of the rate parameters to determine a suitable value for the ratedev parameter.
For future work, we are exploring how to automatically determine a suitable value for the threshold λ in the seed selection strategy to increase its applicability to the large range of agglomerative clustering algorithms.
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