DOC: rework front page

It seems that people were not finding the right links to the content.

Author: GaelVaroquaux

doc/index.rst

@@ -6,28 +6,36 @@
 .. raw:: html
 
     <h1>scikit-learn: machine learning in Python</h1>
+    <style type="text/css">
+    p {
+        margin: 7px 0 7px 0 ;
+    }
+    span.linkdescr a {
+        color:  #3E4349 ;
+    }
+    </style>
 
 .. only:: html
 
-    .. |banner1| image:: auto_examples/cluster/images/plot_affinity_propagation_1.png
+    .. |banner1| image:: auto_examples/svm/images/plot_oneclass_1.png
        :height: 150
-       :target: auto_examples/cluster/plot_affinity_propagation.html
+       :target: auto_examples/svm/plot_oneclass.html
 
-    .. |banner2| image:: auto_examples/gaussian_process/images/plot_gp_regression_1.png
+    .. |banner2| image:: auto_examples/cluster/images/plot_ward_structured_vs_unstructured_2.png
        :height: 150
-       :target: auto_examples/gaussian_process/plot_gp_regression.html
+       :target: auto_examples/cluster/plot_ward_structured_vs_unstructured.html
 
-    .. |banner3| image:: auto_examples/svm/images/plot_oneclass_1.png
+    .. |banner3| image:: auto_examples/gaussian_process/images/plot_gp_regression_1.png
        :height: 150
-       :target: auto_examples/svm/plot_oneclass.html
+       :target: auto_examples/gaussian_process/plot_gp_regression.html
 
     .. |banner4| image:: auto_examples/cluster/images/plot_lena_ward_segmentation_1.png
        :height: 150
        :target: auto_examples/cluster/plot_lena_ward_segmentation.html
 
     .. |center-div| raw:: html
 
-        <div style="text-align: center; margin: 0px 0 -5px 0;">
+        <div style="text-align: center; margin: -7px 0 -13px 0;">
 
     .. |end-div| raw:: html
 
@@ -44,31 +52,51 @@
     packages (`numpy <http://numpy.scipy.org>`_, `scipy
     <http://www.scipy.org>`_, `matplotlib
     <http://matplotlib.sourceforge.net/>`_).
-
     It aims to provide simple and efficient solutions to learning
     problems that are accessible to everybody and reusable in various
     contexts: **machine-learning as a versatile tool for science and
     engineering**.
 
 
+.. raw:: html
 
-:Features:
-  * **Solid**: :ref:`supervised-learning`: :ref:`svm`, :ref:`linear_model`.
-
-  * **Work in progress**: :ref:`unsupervised-learning`:
-    :ref:`clustering`, :ref:`mixture`, :ref:`Manifold learning <manifold>`, :ref:`ICA
-    <ICA>`, :ref:`gaussian_process`, :ref:`matrix factorization <decompositions>`
-
-  * **Planned**: Gaussian graphical models
-
-:License:
-  Open source, commercially usable: **BSD license** (3 clause)
-
+  <table class="contentstable" style="width: 100% ; margin-top: -8px">
+    <tr valign="top"><td width="28%">
+      <p class="biglink"><a class="biglink" href="supervised_learning.html">
+                Supervised learning</a><br/>
+         <span class="linkdescr">
+                <a href="modules/svm.html">Support Vector Machines</a>, 
+                <a href="modules/linear_model.html">linear models</a>, 
+                <a href="modules/naive_bayes.html">naives Bayes</a>, 
+                <a href="modules/gaussian_process.html">Gaussian process</a>...
+         </span></p>
+    </td><td align="center" width="32%">
+      <p class="biglink"><a class="biglink" href="unsupervised_learning.html">
+        Unsupervised learning</a><br/>
+         <span class="linkdescr">
+                <a href="modules/clustering.html">Clustering</a>, 
+                <a href="modules/mixture.html">Gaussian mixture models</a>, 
+                <a href="modules/manifold.html">manifold learning</a>, 
+                <a href="modules/decomposition.html">matrix factorization</a>, 
+                <a href="modules/covariance.html">covariance</a>...
+         </span></p>
+    </td><td align="right" width="30%">
+      <p class="biglink"><a class="biglink" href="index.html#user-guide">
+        And much more</a><br/>
+         <span class="linkdescr">
+                <a href="model_selection.html">Model selection</a>, 
+                <a href="datasets/index.html">datasets</a>, 
+                <a href="modules/feature_extraction.html">feature extraction...</a> 
+                <strong>See below</strong>.</span></p>
+    </td></tr>
+  </table>
+ 
+**License:** Open source, commercially usable: **BSD license** (3 clause)
 
 .. include:: includes/big_toc_css.rst
 
-.. note:: This document describes scikit-learn |release|. For other
-   versions and printable format, see :ref:`documentation_resources`.
+This document describes scikit-learn |release|. For other versions and
+printable format, see :ref:`documentation_resources`.
 
 User Guide
 ==========