DOC clarify variance estimation in PCA implementation
@@ -217,6 +217,7 @@ class PCA(_BasePCA):
explained_variance_ : ndarray of shape (n_components,)
The amount of variance explained by each of the selected components.
+ The variance estimation uses `n_samples - 1` degrees of freedom.
Equal to n_components largest eigenvalues
of the covariance matrix of X.
