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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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