Merge pull request scikit-learn#4947 from zyrikby/patch-1

Updated graph ranges

Author: amueller

examples/cluster/plot_kmeans_digits.py

@@ -96,8 +96,8 @@ def bench_k_means(estimator, name, data):
 h = .02     # point in the mesh [x_min, m_max]x[y_min, y_max].
 
 # Plot the decision boundary. For that, we will assign a color to each
-x_min, x_max = reduced_data[:, 0].min() + 1, reduced_data[:, 0].max() - 1
-y_min, y_max = reduced_data[:, 1].min() + 1, reduced_data[:, 1].max() - 1
+x_min, x_max = reduced_data[:, 0].min() - 1, reduced_data[:, 0].max() + 1
+y_min, y_max = reduced_data[:, 1].min() - 1, reduced_data[:, 1].max() + 1
 xx, yy = np.meshgrid(np.arange(x_min, x_max, h), np.arange(y_min, y_max, h))
 
 # Obtain labels for each point in mesh. Use last trained model.