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Question

Which metric is commonly used to calculate distances in the k-means clustering algorithm?

a.

Jaccard similarity

b.

Hamming distance

c.

Euclidean distance

d.

Cosine similarity

Posted under Big Data Computing

Answer: (c).Euclidean distance Explanation:The k-means clustering algorithm commonly uses Euclidean distance to calculate distances between data points.

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Q. Which metric is commonly used to calculate distances in the k-means clustering algorithm?

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