[mlpack-svn] [MLPACK] #280: Kernel PCA unexpected results

[MLPACK Trac]

#280: Kernel PCA unexpected results
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  Reporter:  marcus            |        Owner:              
      Type:  defect            |       Status:  closed      
  Priority:  major             |    Milestone:  mlpack 1.0.6
 Component:  mlpack            |   Resolution:  fixed       
  Keywords:  kernel pca, kpca  |     Blocking:              
Blocked By:                    |  
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Changes (by rcurtin):

  * status:  new => closed
  * resolution:  => fixed


Comment:

 r15050 should fix this.  This also helps #204 towards completion.  There
 is a much more robust test in place now, which basically generates the
 circle dataset (like you attached), then uses Kernel PCA with the Gaussian
 Kernel to map it to one dimension and ensures that the three "classes" are
 linearly separable.

 I took your implementation and adapted it into kernel_pca_impl.hpp, so
 unless you ask me to do otherwise I've added your name to the authors list
 in that file and core.hpp and on the website.

 Thanks again for pointing this out.

-- 
Ticket URL: <http://trac.research.cc.gatech.edu/fastlab/ticket/280#comment:2>
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.