[mlpack-svn] [MLPACK] #126: Implement simple PCA

MLPACK Trac trac at coffeetalk-1.cc.gatech.edu
Wed Nov 16 16:47:05 EST 2011


#126: Implement simple PCA
-----------------------------------------------+----------------------------
  Reporter:  rcurtin                           |        Owner:  ajinkya   
      Type:  wishlist                          |       Status:  assigned  
  Priority:  major                             |    Milestone:  MLPACK 1.0
 Component:  MLPACK                            |   Resolution:            
  Keywords:  pca kernel_pca covariance method  |     Blocking:  47        
Blocked By:                                    |  
-----------------------------------------------+----------------------------

Comment (by rcurtin):

 Was there a difference in the time to perform PCA when using `princomp()`
 as opposed to `eig_sym` and so forth?  Do you have the benchmarks handy?

-- 
Ticket URL: <http://trac.research.cc.gatech.edu/fastlab/ticket/126#comment:9>
MLPACK <www.fast-lab.org>
MLPACK is an intuitive, fast, and scalable C++ machine learning library developed by the FASTLAB at Georgia Tech under Dr. Alex Gray.


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