A disadvantage with the Skip Gram model is that it might fail to be discriminative, since it does not utilize category labels.
to ensure a representative sampling, kernel density estimation is performed within each cluster's entities, and the entity with highest density, along with its nearest neighbors in the embedding space, are selected.