svn commit: r887485 - in /websites/staging/mahout/trunk/content: ./ users/clustering/canopy-clustering.html

[bu...@apache.org]

Author: buildbot
Date: Thu Nov 21 11:02:44 2013
New Revision: 887485

Log:
Staging update by buildbot for mahout

Modified:
    websites/staging/mahout/trunk/content/   (props changed)
    websites/staging/mahout/trunk/content/users/clustering/canopy-clustering.html

Propchange: websites/staging/mahout/trunk/content/
------------------------------------------------------------------------------
--- cms:source-revision (original)
+++ cms:source-revision Thu Nov 21 11:02:44 2013
@@ -1 +1 @@
-1544101
+1544106

Modified: websites/staging/mahout/trunk/content/users/clustering/canopy-clustering.html
==============================================================================
--- websites/staging/mahout/trunk/content/users/clustering/canopy-clustering.html (original)
+++ websites/staging/mahout/trunk/content/users/clustering/canopy-clustering.html Thu Nov 21 11:02:44 2013
@@ -525,18 +525,18 @@ deviation. See the README file in the <a
 </ul>
 <p>In the first image, the points are plotted and the 3-sigma boundaries of
 their generator are superimposed. </p>
-<p>!SampleData.png!</p>
+<p><img alt="sample data" src="../../images/SampleData.png" /></p>
 <p>In the second image, the resulting canopies are shown superimposed upon the
 sample data. Each canopy is represented by two circles, with radius T1 and
 radius T2.</p>
-<p>!Canopy.png!</p>
+<p><img alt="canopy" src="../../images/Canopy.png" /></p>
 <p>The third image uses the same values of T1 and T2 but only superimposes
 canopies covering more than 10% of the population. This is a bit better
 representation of the data but it still has lots of room for improvement.
 The advantage of Canopy clustering is that it is single-pass and fast
 enough to iterate runs using different T1, T2 parameters and display
 thresholds.</p>
-<p>!Canopy10.png!</p>
+<p><img alt="canopy" src="../../images/Canopy10.png" /></p>
    </div>
   </div>     
 </div>