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Subject: svn commit: r900845 - in /websites/staging/mahout/trunk/content: ./
 users/dim-reduction/ssvd.html
Date: Mon, 10 Mar 2014 05:42:04 -0000
To: commits@mahout.apache.org
From: buildbot@apache.org
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Author: buildbot
Date: Mon Mar 10 05:42:04 2014
New Revision: 900845

Log:
Staging update by buildbot for mahout

Modified:
    websites/staging/mahout/trunk/content/   (props changed)
    websites/staging/mahout/trunk/content/users/dim-reduction/ssvd.html

Propchange: websites/staging/mahout/trunk/content/
------------------------------------------------------------------------------
--- cms:source-revision (original)
+++ cms:source-revision Mon Mar 10 05:42:04 2014
@@ -1 +1 @@
-1575829
+1575833

Modified: websites/staging/mahout/trunk/content/users/dim-reduction/ssvd.html
==============================================================================
--- websites/staging/mahout/trunk/content/users/dim-reduction/ssvd.html (original)
+++ websites/staging/mahout/trunk/content/users/dim-reduction/ssvd.html Mon Mar 10 05:42:04 2014
@@ -255,16 +255,6 @@ x<span class="o">&lt;-</span> usim <span
 
 <p>and try to compare ssvd.svd(x) and stock svd(x) performance for the same rank k, notice the difference in the running time. Also play with power iterations (qIter) and compare accuracies of standard svd and SSVD.</p>
 <p>Note: numerical stability of R algorithms may differ from that of Mahout's distributed version. We haven't studied accuracy of the R simulation. For study of accuracy of Mahout's version, please refer to Nathan's dissertation as referenced above.</p>
-<h4 id="modified-ssvd-algorithm">Modified SSVD Algorithm.</h4>
-<p>Modified SSVD Algorithm.</p>
-
-<p>Given an <span style="display: none;" class="MathJax_Preview"></span><span style="font-size: 100%;" class="MathJax_MathML"><math><mi>m</mi><mo stretchy="false">×</mo><mi>n</mi></math></span><script id="MathJax-Element-45" type="math/tex">m\times n</script>
-  matrix A, a target rank <span style="display: none;" class="MathJax_Preview"></span><span style="font-size: 100%;" class="MathJax_MathML"><math><mi>k</mi><mo stretchy="false">∈</mo><msub><mrow><mi mathvariant="double-struck">N</mi></mrow><mrow><mn>1</mn></mrow></msub></math></span><script id="MathJax-Element-46" type="math/tex">k\in\mathbb{N}_{1}</script>
- , an oversampling parameter <span style="display: none;" class="MathJax_Preview"></span><span style="font-size: 100%;" class="MathJax_MathML"><math><mi>p</mi><mo stretchy="false">∈</mo><msub><mrow><mi mathvariant="double-struck">N</mi></mrow><mrow><mn>1</mn></mrow></msub></math></span><script id="MathJax-Element-47" type="math/tex">p\in\mathbb{N}_{1}</script>
- , and the number of additional power iterations <span style="display: none;" class="MathJax_Preview"></span><span style="font-size: 100%;" class="MathJax_MathML"><math><mi>q</mi><mo stretchy="false">∈</mo><msub><mrow><mi mathvariant="double-struck">N</mi></mrow><mrow><mn>0</mn></mrow></msub></math></span><script id="MathJax-Element-48" type="math/tex">q\in\mathbb{N}_{0}</script>
- , this procedure computes an <span style="display: none;" class="MathJax_Preview"></span><span style="font-size: 100%;" class="MathJax_MathML"><math><mi>m</mi><mo stretchy="false">×</mo><mfenced close=")" open="("><mrow><mi>k</mi><mo stretchy="false">+</mo><mi>p</mi></mrow></mfenced></math></span><script id="MathJax-Element-49" type="math/tex">m\times\left(k+p\right)</script>
-  SVD <span style="display: none;" class="MathJax_Preview"></span><span style="font-size: 100%;" class="MathJax_MathML"><math><mrow><mi mathvariant="bold">A</mi><mo stretchy="false">≈</mo><mi mathvariant="bold">U</mi></mrow><mi mathvariant="bold">Σ</mi><msup><mrow><mi mathvariant="bold">V</mi></mrow><mrow><mi mathvariant="normal">⊤</mi></mrow></msup></math></span><script id="MathJax-Element-50" type="math/tex">\mathbf{A\approx U}\boldsymbol{\Sigma}\mathbf{V}^{\top}</script></p>
-
 <script type="text/javascript"
   src="http://cdn.mathjax.org/mathjax/latest/MathJax.js?config=TeX-AMS-MML_HTMLorMML">
 </script>