Question

Which of the following algorithm is most sensitive to outliers?

Q: Answer-Which of the following algorithm is most sensitive to outliers?

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.

A K-means clustering algorithm

B K-medians clustering algorithm

C K-modes clustering algorithm

D K-medoids clustering algorithm

E None of these

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Which of the following algorithm is most sensitive to outliers?

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