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From a..@apache.org
Subject svn commit: r1781636 - /mahout/site/mahout_cms/trunk/content/users/algorithms/d-spca.mdtext
Date Sat, 04 Feb 2017 00:48:49 GMT
Author: akm
Date: Sat Feb  4 00:48:49 2017
New Revision: 1781636

URL: http://svn.apache.org/viewvc?rev=1781636&view=rev
Log:
CMS commit to mahout by akm

Modified:
    mahout/site/mahout_cms/trunk/content/users/algorithms/d-spca.mdtext

Modified: mahout/site/mahout_cms/trunk/content/users/algorithms/d-spca.mdtext
URL: http://svn.apache.org/viewvc/mahout/site/mahout_cms/trunk/content/users/algorithms/d-spca.mdtext?rev=1781636&r1=1781635&r2=1781636&view=diff
==============================================================================
--- mahout/site/mahout_cms/trunk/content/users/algorithms/d-spca.mdtext (original)
+++ mahout/site/mahout_cms/trunk/content/users/algorithms/d-spca.mdtext Sat Feb  4 00:48:49
2017
@@ -3,7 +3,7 @@
 
 ## Intro
 
-Mahout has a distributed implementation of Stochastic PCA[1]. This algorithm computes the
exact equivalent of Mahout's dssvd(`\(\mathbf{A-1\mu}\)`) by modifying the `dssvd` algorithm
so as to avoid forming `\(\mathbf{A-1\mu}\)`, which would densify a sparse input. Thus, it
is suitable for work with both dense and sparse inputs.
+Mahout has a distributed implementation of Stochastic PCA[1]. This algorithm computes the
exact equivalent of Mahout's dssvd(`\(\mathbf{A-1\mu^\top}\)`) by modifying the `dssvd` algorithm
so as to avoid forming `\(\mathbf{A-1\mu^\top}\)`, which would densify a sparse input. Thus,
it is suitable for work with both dense and sparse inputs.
 
 ## Algorithm
 



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