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In this paper, a new dynamic clustering algorithm based on random sampling is proposed. The algorithm addresses well known challenges in clustering such as dynamism, stability, and scaling. The core of the proposed method isbased on the definition of a function, named the Oracle,which can predict whether two random data points belongto the same cluster or not. Furthermore, this algorithm isalso equipped...
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