Pushing the docs for revision for branch: master, commit 323bcea80d394a276d51dc017abde5de1e0767a3

Author: sklearn-ci

dev/_downloads/plot_cluster_comparison.py

@@ -17,7 +17,7 @@
 clusters for the methods that needs this parameter
 specified. Note that affinity propagation has a tendency to
 create many clusters. Thus in this example its two parameters
-(damping and per-point preference) were set to to mitigate this
+(damping and per-point preference) were set to mitigate this
 behavior.
 """
 print(__doc__)

dev/_downloads/plot_johnson_lindenstrauss_bound.py

@@ -44,7 +44,7 @@
 Empirical validation
 ====================
 
-We validate the above bounds on the the digits dataset or on the 20 newsgroups
+We validate the above bounds on the digits dataset or on the 20 newsgroups
 text document (TF-IDF word frequencies) dataset:
 
 - for the digits dataset, some 8x8 gray level pixels data for 500

dev/_downloads/plot_spectral_coclustering.py

@@ -4,7 +4,7 @@
 ==============================================
 
 This example demonstrates how to generate a dataset and bicluster it
-using the the Spectral Co-Clustering algorithm.
+using the Spectral Co-Clustering algorithm.
 
 The dataset is generated using the ``make_biclusters`` function, which
 creates a matrix of small values and implants bicluster with large