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This method successfully aggregates analysis topics with closely linked attributes into distinct classes, delineating crystal clear classification boundaries while preserving the integrity of the data. It's important to recognize that cluster Evaluation would not ascribe differential worth to indicators; each of the clusters are deemed of equivalen