[mlpack-svn] [MLPACK] #211: Suggested additional functionality to GMM

MLPACK Trac trac at coffeetalk-1.cc.gatech.edu
Sat Mar 17 12:07:29 EDT 2012


#211: Suggested additional functionality to GMM
-------------------------+--------------------------------------------------
 Reporter:  Adam         |        Owner:                      
     Type:  enhancement  |       Status:  new                 
 Priority:  major        |    Milestone:                      
Component:  mlpack       |     Keywords:  GMM, EM, IGMM, DPGMM
 Blocking:               |   Blocked By:                      
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 Within the GMM methods, I noticed that you are using the standard EM
 algorithm to estimate / fit the data. I think it would be extremely useful
 to have an additional more flexible estimation / fitting method that
 allows the use of priors and / or unknown numbers of clusters. The obvious
 choice would be the IGMM (infinite Gaussian Mixture Model), also known as
 Diriclet process mixture model.

 More info of what I am talking about / envision here,

 http://scikit-learn.sourceforge.net/dev/modules/mixture.html

-- 
Ticket URL: <https://trac.research.cc.gatech.edu/fastlab/ticket/211>
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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