DOC t-SNE perplexity docstring update
@@ -506,8 +506,8 @@ class TSNE(BaseEstimator):
The perplexity is related to the number of nearest neighbors that
is used in other manifold learning algorithms. Larger datasets
usually require a larger perplexity. Consider selecting a value
- between 5 and 50. The choice is not extremely critical since t-SNE
- is quite insensitive to this parameter.
+ between 5 and 50. Different values can result in significanlty
+ different results.
early_exaggeration : float, optional (default: 12.0)
Controls how tight natural clusters in the original space are in
