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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