[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
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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
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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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