KrisLibrary  1.0.0
Public Member Functions | Public Attributes | List of all members
Statistics::GaussianMixtureModelRaw Class Reference

A more ``raw'' model of a GMM that does not perform a cholesky decomposiition. More...

#include <GaussianMixtureModel.h>

Public Member Functions

 GaussianMixtureModelRaw (int k, int d)
 
 GaussianMixtureModelRaw (const GaussianMixtureModel &)
 
 GaussianMixtureModelRaw (const GaussianMixtureModelRaw &)
 
void Set (const GaussianMixtureModel &gmm)
 
bool Get (GaussianMixtureModel &gmm) const
 
int NumDims () const
 
void Resize (int k, int d)
 
void SetLinearTransform (const GaussianMixtureModelRaw &gmm, const Matrix &A, const Vector &b)
 
void SetSubset (const GaussianMixtureModelRaw &gmm, const std::vector< int > &keptIndices)
 
void SetMarginalized (const GaussianMixtureModelRaw &gmm, const std::vector< int > &dropIndices)
 
void SetCombination (const std::vector< GaussianMixtureModelRaw > &gmms, const std::vector< Real > &weights)
 
int PickGaussian () const
 
void GetMean (Vector &x) const
 
void GetMode (Vector &x) const
 
void GetCovariance (Matrix &cov) const
 
void GetVariance (Vector &var) const
 
void Resample (int k)
 
void Cluster (const GaussianMixtureModel &gmm, int k)
 

Public Attributes

std::vector< Vectormeans
 
std::vector< Matrixcovariances
 
std::vector< Real > phi
 phi[i] gives probability of choosing gaussian[i]
 

Detailed Description

A more ``raw'' model of a GMM that does not perform a cholesky decomposiition.


The documentation for this class was generated from the following files: