algorithm - A good heuristic for computationally less intensive yet good K-medoids? -

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Can we use the data point in the closure near the mean in the form of a median? Does it always give a medoid that is equivalent to running the distance-distance measures according to the definition of how the diode algorithm works?

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PAM (k-medoids) through random sampling?

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