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来自「这是一款用C++编写的实现gmm算法的程序」· 代码 · 共 35 行

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hahaha Copyright (c) 2008 Florent D'halluin , Sylvain Calinon, 
LASA Lab, EPFL, CH-1015 Lausanne, Switzerland, 
http://www.calinon.ch, http://lasa.epfl.ch

The program is free for non-commercial academic use. 
Please acknowledge the authors in any academic publications that have 
made use of this code or part of it. Please use this BibTex reference: 
 
@article{Calinon06SMC,
  title="On Learning, Representing and Generalizing a Task in a Humanoid 
  Robot",
  author="S. Calinon and F. Guenter and A. Billard",
  journal="IEEE Transactions on Systems, Man and Cybernetics, Part B. 
  Special issue on robot learning by observation, demonstration and 
  imitation",
  year="2007",
  volume="37",
  number="2",
  pages="286--298"
}


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# GMM regression   #
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To test the program, just do a 'make', then run the 'main_test' executable, 
which performs an EM learning to find the GMM parameters, and then do a 
regression on the data stored in data/test*.csv. 

The resulting parameters are stored in files *.dat and *.gmm that can then 
be plotted in Matlab/Octave using the plotall.m script in the 'matlab_src' 
folder.