Remove useless images and the LLE example ...

... that was not meant for the tutorial.
josephmisiti · Aug 29, 2011 · 88ef3f0 · 88ef3f0
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diff --git a/advanced/scikit-learn/index.rst b/advanced/scikit-learn/index.rst
@@ -443,13 +443,6 @@ Now we can visualize the (transformed) iris dataset!
    :align: center
 
 
-You can also try to visualize the digits dataset ...
-
-And there are manifold learning algorithms that do a better job
-
-.. image:: plot_lle_digits_5.png
-   :scale: 50
-   :align: center
 
 PCA is not just useful for visualization of high dimensional
 datasets. It can also be used as a preprocessing step to help speed up

diff --git a/advanced/scikit-learn/k_means_iris_bad_init.png b/advanced/scikit-learn/k_means_iris_bad_init.png
diff --git a/advanced/scikit-learn/lars.png b/advanced/scikit-learn/lars.png
diff --git a/advanced/scikit-learn/plot_lle_digits_5.png b/advanced/scikit-learn/plot_lle_digits_5.png
diff --git a/advanced/scikit-learn/svm_gui.py b/advanced/scikit-learn/svm_gui.py