Which of the following best describes the steps involved in the k-means++ initialization process?

Question

Answer

Randomly select all k centroids from the data points at once.

Answer

Choose centroids by minimizing the total distance from all data points to the centroids.

Answer

Select all centroids based on the average of all data points.

Answer

Select the first centroid randomly, then select subsequent centroids by choosing points that are farthest from the already chosen centroids.

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