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Question

How does the K-means clustering algorithm initially choose centroids?

a.

Based on random guesses

b.

Based on the values of all variables

c.

Based on the number of records

d.

Based on the dataset's age

Posted under Data Warehousing and OLAP

Answer: (a).Based on random guesses Explanation:The K-means clustering algorithm initially chooses centroids based on random guesses.

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