[Insight-users] GaussianMixtureModelComponent set parameters when the measurments vector has dimension>1

[Baoyun Li]

Dear All:

I have check the base class


template<class TSample>
class itk::Statistics::MixtureModelComponentBase< TSample >
the type of parameter is Array double

typedef Array< double >  ParametersType 

So I think I need to give the tweleve pararameters in the case dimenion of measurmentvetor is 3.


Am I correct?

Is is ok I give the mean followed by covariance as:

params[0] = 10;params[1] = 10;params[2]=10;
 params[3]=1;params[4]=0;params[5]=0;
  params[6]=0;params[7]=1;params[8]=0;
  params[9]=0;params[10]=0;params[11]=1;

Thanks

Baoyun




________________________________
From: Baoyun Li <baoyun_li123 at yahoo.com>
To: Luis Ibanez <luis.ibanez at kitware.com>; Insight Users <insight-users at itk.org>
Sent: Wednesday, March 11, 2009 11:16:08 AM
Subject: GaussianMixtureModelComponent set parameters when the measurments vector has dimension>1


Dear All:

Can somebody have experience to SetParameters for  GaussianMixtureModelComponent class?

ITK statistic example is for one dimension MesuremenVector, thus 
  typedef itk::Array< double > ParametersType;
  ParametersType params( 2 );

params(2) containing mean and variation are enough.


Now my measurement vection is 3x1.

so the mean is 3x1, and the covariance  matrix should be 3x3.

How should I give this intial parameters in this case? Only mean value for each component ok? (I tried only give means, at least, the program can be build).

Can somebody teach me?

Thanks

Baoyun



      
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