What is a significant advantage of using the X-Means clustering algorithm over the standard k-means algorithm?

Question

Answer

X-Means does not require any initialization step for cluster centroids.

Answer

X-Means guarantees that each cluster has an equal number of data points.

Answer

X-Means can automatically determine the optimal number of clusters, whereas k-means requires the number of clusters to be specified beforehand.

Answer

X-Means is faster than k-means in all scenarios.

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