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      Question

      Which of the following algorithm is most sensitive to

      outliers?
      A K-means clustering algorithm Correct Answer Incorrect Answer
      B K-medians clustering algorithm Correct Answer Incorrect Answer
      C K-modes clustering algorithm Correct Answer Incorrect Answer
      D K-medoids clustering algorithm Correct Answer Incorrect Answer
      E None of these Correct Answer Incorrect Answer

      Solution

      Out of all the options, the K-Means clustering algorithm is most sensitive to outliers as it uses the mean of cluster data points to find the cluster center.

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