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Algorithm 1 Initiating clustering process.
Algorithm 3, shows the final stage of the clustering process.
For the clustering process the following algorithm was used.
Section 4 describes the clustering process and the protocol structure.
We have found that the clustering process can be qualitatively affected by the temperature.
The characteristic of this method is that it eliminates the outliers during the clustering process.
Although such algorithms significantly reduce clustering process complexity, they necessitate sacrificing solution optimality.
In the clustering process, the instances are partitioned into clusters based on their similarity.
bNumber of the groups is chosen looking at the distance index in the clustering process.
This algorithm is distinguished by the ability to handle uncertainty in the clustering process.
So, in our study, the clustering process is considered to be a combinatorial optimization problem.
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