Question: Which statement is INCORRECT about the k - means clustering algorithm? The algorithm starts with initial centroids that are determined by distance function The algorithm

Which statement is INCORRECT about the k-means clustering algorithm?
The algorithm starts with initial centroids that are determined by distance
function
The algorithm starts with random seeds as the initial centroids
The choice of distance function is arbitrary, and the Euclidean distance function
is very popular
Each data point is assigned to the cluster with the nearest centroid
Which statement is INCORRECT about the k - means

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