updated the docs

--HG--
extra : convert_revision : svn%3Afdd8eb12-d10e-0410-9acb-85c331704f74/trunk%403155

docs/docs/ml.xml

@@ -102,6 +102,7 @@
       <section>
          <name>Miscellaneous</name>
          <item>vector_normalizer</item> 
+         <item>vector_normalizer_pca</item> 
          <item>randomize_samples</item> 
          <item>is_binary_classification_problem</item> 
          <item>test_binary_decision_function</item> 
@@ -274,10 +275,6 @@
                 This object represents something that can learn to normalize a set 
                 of column vectors.  In particular, normalized column vectors should 
                 have zero mean and a variance of one.  
-
-                Also, if desired, this object can use principal component 
-                analysis for the purposes of reducing the number of elements in a 
-                vector.  
          </description>
 
          <examples>
@@ -286,6 +283,24 @@
                                  
       </component>
       
+   <!-- ************************************************************************* -->
+
+      
+      <component>
+         <name>vector_normalizer_pca</name>
+         <file>dlib/statistics.h</file>
+         <spec_file link="true">dlib/statistics/statistics_abstract.h</spec_file>
+         <description>
+                This object represents something that can learn to normalize a set 
+                of column vectors.  In particular, normalized column vectors should 
+                have zero mean and a variance of one.  
+
+                This object also uses principal component analysis for the purposes 
+                of reducing the number of elements in a vector.  
+         </description>
+
+      </component>
+      
    <!-- ************************************************************************* -->
 
       <component>

docs/docs/term_index.xml

@@ -122,6 +122,7 @@
          <term file="ml.html" name="kcentroid"/>
          <term file="ml.html" name="linearly_independent_subset_finder"/>
          <term file="ml.html" name="vector_normalizer"/>
+         <term file="ml.html" name="vector_normalizer_pca"/>
          <term file="ml.html" name="kkmeans"/>
          <term file="ml.html" name="pick_initial_centers"/>
          <term file="ml.html" name="rank_features"/>