In this part we
elaborate the results obtained with the application of our proposed model on
the dataset considered. Since some of the characteristics of this dataset are categorical we applied the

clustering algorithm.

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In the
cluster center

algorithm, the clusters are immediately calculated
after an instance joins a cluster. Typically, most clustering methods use a
combination of algorithms

for their initial clustering 38-40. But recent
studies have shown that according to the behavior of each dataset, sometimes a
particular clustering technique is found that provides better accuracy than

for some of the datasets. However, the algorithm

has always been considered as the first choice for
combining clustering studies due to its ease and proper ability in clustering.

In Figure 2, you can see the pseudo-code

algorithm

x

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