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Posted to commits@mahout.apache.org by is...@apache.org on 2013/11/21 13:06:36 UTC

svn commit: r1544149 - /mahout/site/mahout_cms/trunk/templates/standard.html

Author: isabel
Date: Thu Nov 21 12:06:36 2013
New Revision: 1544149

URL: http://svn.apache.org/r1544149
Log:
MAHOUT-1245 - restructure menu slightly

Modified:
    mahout/site/mahout_cms/trunk/templates/standard.html

Modified: mahout/site/mahout_cms/trunk/templates/standard.html
URL: http://svn.apache.org/viewvc/mahout/site/mahout_cms/trunk/templates/standard.html?rev=1544149&r1=1544148&r2=1544149&view=diff
==============================================================================
--- mahout/site/mahout_cms/trunk/templates/standard.html (original)
+++ mahout/site/mahout_cms/trunk/templates/standard.html Thu Nov 21 12:06:36 2013
@@ -189,21 +189,27 @@
                  </li>
               <li class="dropdown"> <a href="#" class="dropdown-toggle" data-toggle="dropdown">Classification<b class="caret"></b></a>
                 <ul class="dropdown-menu">
+                <li class="divider"></li>
+                <li class="nav-header">Design and Background</li>
                 <li><a href="/users/classification/classifyingyourdata.html">Classifying data</a></li>
+		<li><a href="/users/classification/bayesian.html">Bayes design doc</a></li>
                 <li><a href="/users/classification/naivebayes.html">Design naive bayes</a></li>
                 <li><a href="/users/classification/complementary-naive-bayes.html">Design complimentary bayes</a></li>
+		<li><a href="/users/classification/class-discovery.html">Class discovery</a></li>
+                <li><a href="/users/stuff/hidden-markov-models.html">HMM</a></li>
+	        <li><a href="/users/classification/random-forests.html">Design random forests</a></li>
+                <li><a href="/users/classification/logistic-regression.html">Design logisitic regression</a></li>
+                <li><a href="/users/stuff/partial-implementation.html">Partial Impl</a></li>
+                <li class="divider"></li>
+                <li class="nav-header">Commandline usage</li>
                 <li><a href="/users/classification/bayesian-commandline.html">Bayes command line</a></li>
-		<li><a href="/users/classification/bayesian.html">Bayes design doc</a></li>
+                <li class="divider"></li>
+                <li class="nav-header">Examples</li>
                 <li><a href="/users/classification/wikipedia-bayes-example.html">Wikipedia Example</a></li>
                 <li><a href="/users/clustering/20newsgroups.html">20 newsgroups example</a></li>
                 <li><a href="/users/clustering/twenty-newsgroups.html">20 newsgroups example</a></li>
                 <li><a href="/users/classification/breiman-example.html">Breiman example</a></li>
-		<li><a href="/users/classification/class-discovery.html">Class discovery</a></li>
-                <li><a href="/users/stuff/hidden-markov-models.html">HMM</a></li>
-	        <li><a href="/users/stuff/partial-implementation.html">Partial Impl</a></li>
 	        <li><a href="/users/stuff/traveling-salesman.html">Traveling Salesman</a></li>
-                <li><a href="/users/classification/random-forests.html">Design random forests</a></li>
-                <li><a href="/users/classification/logistic-regression.html">Design logisitic regression</a></li>
                 </ul></li>
                <li class="dropdown"> <a href="#" class="dropdown-toggle" data-toggle="dropdown">Clustering<b class="caret"></b></a>
                 <ul class="dropdown-menu">
@@ -212,19 +218,21 @@
                 <li class="divider"></li>
                 <li class="nav-header">Algorithms</li>
                 <li><a href="/users/clustering/k-means-clustering.html">Design k-Means clustering</a></li>
-                <li><a href="/users/clustering/k-means-commandline.html">Commandline k-Means</a></li>
                 <li><a href="/users/clustering/canopy-clustering.html">Design Canopy clustering</a></li>
-                <li><a href="/users/clustering/canopy-commandline.html">Commandline Canopy clustering</a></li>
                 <li><a href="/users/clustering/dirichlet-process-clustering.html">Design Dirichlet clustering</a></li>
-                <li><a href="/users/clustering/dirichlet-commandline.html">Commandline Dirichlet clustering</a></li>
                 <li><a href="/users/clustering/fuzzy-k-means.html">Design Fuzzy k-Means</a></li>
-		<li><a href="/users/clustering/fuzzy-k-means-commandline.html">Commandline Fuzzy k-Means</a></li>
                 <li><a href="/users/clustering/latent-dirichlet-allocation.html">Design LDA</a></li>
-                <li><a href="/users/clustering/lda-commandline.html">Commandline LDA</a></li>
                 <li><a href="/users/clustering/mean-shift-clustering.html">Design Meanshift</a></li>
-                <li><a href="/users/clustering/mean-shift-commandline.html">Commandline Meanshift</a></li>
                 <li><a href="/users/clustering/spectral-clustering.html">Design Spectral</a></li>
                 <li class="divider"></li>
+                <li class="nav-header">Commandline usage</li>
+                <li><a href="/users/clustering/k-means-commandline.html">Commandline k-Means</a></li>
+                <li><a href="/users/clustering/canopy-commandline.html">Commandline Canopy clustering</a></li>
+                <li><a href="/users/clustering/dirichlet-commandline.html">Commandline Dirichlet clustering</a></li>
+		<li><a href="/users/clustering/fuzzy-k-means-commandline.html">Commandline Fuzzy k-Means</a></li>
+                <li><a href="/users/clustering/lda-commandline.html">Commandline LDA</a></li>
+                <li><a href="/users/clustering/mean-shift-commandline.html">Commandline Meanshift</a></li>
+                <li class="divider"></li>
                 <li class="nav-header">Examples</li>
                 <li><a href="/users/clustering/clustering-of-synthetic-control-data.html">Example: Synthetic data</a></li>
                 <li><a href="/users/clustering/clustering-seinfeld-episodes.html">Example: Seinfeld</a></li>