scikit-learn
diff --git a/‎dev/_downloads/wikipedia_principal_eigenvector.py
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diff --git a/‎dev/_images/plot_agglomerative_clustering.png
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diff --git a/‎dev/_images/plot_agglomerative_clustering1.png
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@@ -179,7 +179,7 @@ def get_adjacency_matrix(redirects_filename, page_links_filename, limit=None):
 U, s, V = randomized_svd(X, 5, n_iter=3)
 print("done in %0.3fs" % (time() - t0))
 
-# print the names of the wikipedia related strongest components of the the
+# print the names of the wikipedia related strongest components of the
 # principal singular vector which should be similar to the highest eigenvector
 print("Top wikipedia pages according to principal singular vectors")
 pprint([names[i] for i in np.abs(U.T[0]).argsort()[-10:]])