What role do centroids play in the K-Means clustering algorithm?

They are the midpoint of clusters
They define the classes of data
They determine the number of clusters
They determine the shape of clusters

In K-Means, centroids are the midpoints of clusters. The algorithm assigns each data point to the nearest centroid, and the centroids are recalculated until convergence.

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What role do centroids play in the K-Means clustering algorithm?

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