From 639fcfbe69df215eb141489eb4d409171584b489 Mon Sep 17 00:00:00 2001
From: vene <vlad@vene.ro>
Date: Mon, 19 Sep 2011 13:31:36 +0300
Subject: [PATCH] Reordered dictionary learning docs
---
doc/modules/decomposition.rst | 18 ++++++++++++------
1 file changed, 12 insertions(+), 6 deletions(-)
diff --git a/doc/modules/decomposition.rst b/doc/modules/decomposition.rst
index ed00de58f4..9565426ad6 100644
--- a/doc/modules/decomposition.rst
+++ b/doc/modules/decomposition.rst
@@ -263,6 +263,18 @@ dictionary fixed, and then updating the dictionary to best fit the sparse code.
\text{subject to\,} & ||V_k||_2 = 1 \text{ for all }
0 \leq k < n_{atoms}
+
+.. |pca_img| image:: ../auto_examples/decomposition/images/plot_faces_decomposition_2.png
+ :target: ../auto_examples/decomposition/plot_faces_decomposition.html
+ :scale: 60%
+
+.. |dict_img| image:: ../auto_examples/decomposition/images/plot_faces_decomposition_6.png
+ :target: ../auto_examples/decomposition/plot_faces_decomposition.html
+ :scale: 60%
+
+.. centered:: |pca_img| |dict_img|
+
+
After using such a procedure to fit the dictionary, the fitted object can be
used to transform new data. The transformation amounts to a sparse coding
problem: finding a representation of the data as a linear combination of as few
@@ -310,12 +322,6 @@ extracted from part of the image of Lena looks like.
:scale: 50%
-.. figure:: ../auto_examples/decomposition/images/plot_faces_decomposition_6.png
- :target: ../auto_examples/decomposition/plot_faces_decomposition.html
- :align: center
- :scale: 50%
-
-
.. topic:: Examples:
* :ref:`example_decomposition_plot_image_denoising.py`
--
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