I am using scikit-learn MiniBatchKMeans to do text clustering.
In the fit() function there is a parameter
sample_weight described as follows:
The weights for each observation in X. If None, all observations are assigned equal weight (default: None).
How should I interpret it exactly?
For instance, if I assigned greater weight to certain observations, will the centroid be nearer to that observations?