Fig. 18.

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K-Means core algorithm where the observation points are placed into the clusters and the center of the cluster is updated. The application skips the cluster assignment complex function whenever an observation has settled for more than seven iterations within the same cluster. In that case, it is assigned to the same cluster it was at the previous iteration.