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From build...@apache.org
Subject svn commit: r907037 - in /websites/staging/mahout/trunk/content: ./ users/clustering/latent-dirichlet-allocation.html
Date Sun, 27 Apr 2014 09:31:55 GMT
Author: buildbot
Date: Sun Apr 27 09:31:55 2014
New Revision: 907037

Log:
Staging update by buildbot for mahout

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

Propchange: websites/staging/mahout/trunk/content/
------------------------------------------------------------------------------
--- cms:source-revision (original)
+++ cms:source-revision Sun Apr 27 09:31:55 2014
@@ -1 +1 @@
-1590367
+1590368

Modified: websites/staging/mahout/trunk/content/users/clustering/latent-dirichlet-allocation.html
==============================================================================
--- websites/staging/mahout/trunk/content/users/clustering/latent-dirichlet-allocation.html
(original)
+++ websites/staging/mahout/trunk/content/users/clustering/latent-dirichlet-allocation.html
Sun Apr 27 09:31:55 2014
@@ -245,7 +245,7 @@ algorithm itself only assigns associate 
 of parameter estimation in these models is to learn both what the topics
 are, and which documents employ them in what proportions.</p>
 <p>Another way to view a topic model is as a generalization of a mixture model
-like <a href="dirichlet-process-clustering.html">Dirichlet Process Clustering</a>
+like <a href="http://en.wikipedia.org/wiki/Dirichlet_process">Dirichlet Process Clustering</a>
 . Starting from a normal mixture model, in which we have a single global
 mixture of several distributions, we instead say that <em>each</em> document
has
 its own mixture distribution over the globally shared mixture components.



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