updated docs

docs/docs/ml.xml

@@ -262,6 +262,7 @@ Davis E. King. <a href="http://jmlr.csail.mit.edu/papers/volume10/king09a/king09
          <item>spectral_cluster</item> 
          <item>chinese_whispers</item> 
          <item>bottom_up_cluster</item> 
+         <item>segment_number_line</item> 
          <item>modularity</item> 
       </section>
       <section>
@@ -802,6 +803,21 @@ Davis E. King. <a href="http://jmlr.csail.mit.edu/papers/volume10/king09a/king09
                                  
       </component>
 
+   <!-- ************************************************************************* -->
+
+      <component>
+         <name>segment_number_line</name>
+         <file>dlib/clustering.h</file>
+         <spec_file link="true">dlib/clustering/bottom_up_cluster_abstract.h</spec_file>
+         <description>
+            This routine clusters real valued scalars in essentially linear time.  
+            It uses a combination of bottom up clustering and a simple greedy scan
+            to try and find the most compact set of ranges that contain all
+            given scalar values. 
+         </description>
+                                 
+      </component>
+
    <!-- ************************************************************************* -->
 
       <component>

docs/docs/term_index.xml

@@ -569,6 +569,8 @@
          <term file="ml.html" name="spectral_cluster"                               include="dlib/clustering.h"/>
          <term file="ml.html" name="chinese_whispers"                               include="dlib/clustering.h"/>
          <term file="ml.html" name="bottom_up_cluster"                               include="dlib/clustering.h"/>
+         <term file="ml.html" name="segment_number_line"                            include="dlib/clustering.h"/>
+         <term file="dlib/clustering/bottom_up_cluster_abstract.h.html" name="snl_range"  include="dlib/clustering.h"/>
          <term file="ml.html" name="modularity"                                     include="dlib/clustering.h"/>
          <term file="ml.html" name="pick_initial_centers"                           include="dlib/clustering.h"/>
          <term file="ml.html" name="rank_features"                                  include="dlib/svm.h"/>