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Posted to commits@mahout.apache.org by bu...@apache.org on 2014/06/24 16:46:48 UTC
svn commit: r913509 - in /websites/staging/mahout/trunk/content: ./
users/clustering/k-means-clustering.html
Author: buildbot
Date: Tue Jun 24 14:46:48 2014
New Revision: 913509
Log:
Staging update by buildbot for mahout
Modified:
websites/staging/mahout/trunk/content/ (props changed)
websites/staging/mahout/trunk/content/users/clustering/k-means-clustering.html
Propchange: websites/staging/mahout/trunk/content/
------------------------------------------------------------------------------
--- cms:source-revision (original)
+++ cms:source-revision Tue Jun 24 14:46:48 2014
@@ -1 +1 @@
-1605098
+1605099
Modified: websites/staging/mahout/trunk/content/users/clustering/k-means-clustering.html
==============================================================================
--- websites/staging/mahout/trunk/content/users/clustering/k-means-clustering.html (original)
+++ websites/staging/mahout/trunk/content/users/clustering/k-means-clustering.html Tue Jun 24 14:46:48 2014
@@ -264,7 +264,7 @@ estimation of the number of clusters <em
remains the same.</p>
<p><a name="K-MeansClustering-Quickstart"></a></p>
<h2 id="quickstart">Quickstart</h2>
-<p><a href="https://svn.apache.org/repos/asf/mahout/trunk/examples/bin/cluster-reuters.sh">Here</a>
+<p><a href="https://github.com/apache/mahout/blob/master/examples/bin/cluster-reuters.sh">Here</a>
is a short shell script outline that will get you started quickly with
k-means. This does the following:</p>
<ul>
@@ -369,7 +369,7 @@ DistanceMeasure.</p>
<p>The following images illustrate k-Means clustering applied to a set of
randomly-generated 2-d data points. The points are generated using a normal
distribution centered at a mean location and with a constant standard
-deviation. See the README file in the <a href="http://svn.apache.org/repos/asf/mahout/trunk/examples/src/main/java/org/apache/mahout/clustering/display/README.txt">/examples/src/main/java/org/apache/mahout/clustering/display/README.txt</a>
+deviation. See the README file in the <a href="https://github.com/apache/mahout/blob/master/examples/src/main/java/org/apache/mahout/clustering/display/README.txt">/examples/src/main/java/org/apache/mahout/clustering/display/README.txt</a>
for details on running similar examples.</p>
<p>The points are generated as follows:</p>
<ul>