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From build...@apache.org
Subject svn commit: r1006170 - in /websites/staging/mahout/trunk/content: ./ users/algorithms/d-spca.html
Date Fri, 03 Feb 2017 23:44:09 GMT
Author: buildbot
Date: Fri Feb  3 23:44:09 2017
New Revision: 1006170

Log:
Staging update by buildbot for mahout

Modified:
    websites/staging/mahout/trunk/content/   (props changed)
    websites/staging/mahout/trunk/content/users/algorithms/d-spca.html

Propchange: websites/staging/mahout/trunk/content/
------------------------------------------------------------------------------
--- cms:source-revision (original)
+++ cms:source-revision Fri Feb  3 23:44:09 2017
@@ -1 +1 @@
-1781625
+1781626

Modified: websites/staging/mahout/trunk/content/users/algorithms/d-spca.html
==============================================================================
--- websites/staging/mahout/trunk/content/users/algorithms/d-spca.html (original)
+++ websites/staging/mahout/trunk/content/users/algorithms/d-spca.html Fri Feb  3 23:44:09
2017
@@ -283,7 +283,7 @@ h2:hover > .headerlink, h3:hover > .head
 <h2 id="intro">Intro<a class="headerlink" href="#intro" title="Permanent link">&para;</a></h2>
 <p>Mahout has a distributed implementation of Stochastic PCA[1].</p>
 <h2 id="algorithm">Algorithm<a class="headerlink" href="#algorithm" title="Permanent
link">&para;</a></h2>
-<p>Given an <em>m</em> <code>\(\times\)</code> <em>n</em>
matrix <code>\(\mathbf{A}\)</code>, a target rank <em>k</em>, and
an oversampling parameter <em>p</em>, this procedure computes a <em>k</em>-rank
PCA by finding the unknowns in <code>\(\mathbf{A−1\mu^\top \ge U\Sigma V}\)</code>:</p>
+<p>Given an <em>m</em> <code>\(\times\)</code> <em>n</em>
matrix <code>\(\mathbf{A}\)</code>, a target rank <em>k</em>, and
an oversampling parameter <em>p</em>, this procedure computes a <em>k</em>-rank
PCA by finding the unknowns in <code>\(\mathbf{A−1\mu^\top \approx U\Sigma V}\)</code>:</p>
 <ol>
 <li>Create seed for random <em>n</em> <code>\(\times\)</code>
<em>(k+p)</em> matrix <code>\(\Omega\)</code>.</li>
 <li><code>\(\mathbf{s_\Omega \leftarrow \Omega^\top \mu}\)</code>.</li>



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