I was searching online about how center_box parameter works in sklearn.datasets.make_blobs(). However, I could not find any good answer about it.

How does this parameter affect the sample dataset generation?

CodePudding user response：

From the documentation:

center_box: tuple of float (min, max), default=(-10.0, 10.0) The bounding box for each cluster center when centers are generated at random.

This means that the parameter center_box is an area of how big a cluster will be.