[mlpack-svn] [MLPACK] #212: Cluster a data set following estimating a GMM

[MLPACK Trac]

#212: Cluster a data set following estimating a GMM
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 Reporter:  Adam    |        Owner:               
     Type:  task    |       Status:  new          
 Priority:  major   |    Milestone:               
Component:  mlpack  |     Keywords:  GMM, Cluster,
 Blocking:          |   Blocked By:               
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 I may be beind blind, but I can't see a function that allows one to
 achieve the following. If not, what would be the easiest way to achieve
 it...

 Following a GMM being estimated given a set of data

 e.g

 GMM g(5,4) ;
 g.Estimate(data) ;

 to assign (or return the assignment) of data points to clusters based on
 the estimated posterior probability that a point came from a component;
 either by assigning each point to the cluster corresponding to the highest
 posterior probability or stochastically based upon the probability.

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Ticket URL: <https://trac.research.cc.gatech.edu/fastlab/ticket/212>
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.