DOC Fix typo in decomposition.rst (scikit-learn#15342)

raphael0202 · rth · commit ecbc2077a40c · 2019-10-23T14:28:25.000+02:00
diff --git a/doc/modules/decomposition.rst b/doc/modules/decomposition.rst
@@ -24,7 +24,7 @@ that learns :math:`n` components in its ``fit`` method, and can be used on new
 data to project it on these components.
 
 PCA centers but does not scale the input data for each feature before
-applying the SVD. The optional parameter parameter ``whiten=True`` makes it
+applying the SVD. The optional parameter ``whiten=True`` makes it
 possible to project the data onto the singular space while scaling each
 component to unit variance. This is often useful if the models down-stream make
 strong assumptions on the isotropy of the signal: this is for example the case
