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Posted to commits@mahout.apache.org by ak...@apache.org on 2017/02/04 00:48:49 UTC
svn commit: r1781636 -
/mahout/site/mahout_cms/trunk/content/users/algorithms/d-spca.mdtext
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