| Cluster(const GaussianMixtureModel &gmm, int k) (defined in Statistics::GaussianMixtureModel) | Statistics::GaussianMixtureModel | |
| GaussianMixtureModel() (defined in Statistics::GaussianMixtureModel) | Statistics::GaussianMixtureModel | |
| GaussianMixtureModel(int k, int d) (defined in Statistics::GaussianMixtureModel) | Statistics::GaussianMixtureModel | |
| GaussianMixtureModel(const GaussianMixtureModel &) (defined in Statistics::GaussianMixtureModel) | Statistics::GaussianMixtureModel | |
| gaussians (defined in Statistics::GaussianMixtureModel) | Statistics::GaussianMixtureModel | |
| Generate(Vector &x) const (defined in Statistics::GaussianMixtureModel) | Statistics::GaussianMixtureModel | |
| GetCovariance(Matrix &cov) const (defined in Statistics::GaussianMixtureModel) | Statistics::GaussianMixtureModel | |
| GetMean(Vector &x) const (defined in Statistics::GaussianMixtureModel) | Statistics::GaussianMixtureModel | |
| GetMode(Vector &x) const (defined in Statistics::GaussianMixtureModel) | Statistics::GaussianMixtureModel | |
| GetVariance(Vector &var) const (defined in Statistics::GaussianMixtureModel) | Statistics::GaussianMixtureModel | |
| LogLikelihood(const std::vector< Vector > &data) | Statistics::GaussianMixtureModel | |
| NumDims() const (defined in Statistics::GaussianMixtureModel) | Statistics::GaussianMixtureModel | |
| phi | Statistics::GaussianMixtureModel | |
| PickGaussian() const (defined in Statistics::GaussianMixtureModel) | Statistics::GaussianMixtureModel | |
| Probability(const Vector &x) const (defined in Statistics::GaussianMixtureModel) | Statistics::GaussianMixtureModel | |
| Resample(int k) (defined in Statistics::GaussianMixtureModel) | Statistics::GaussianMixtureModel | |
| Resize(int k, int d) (defined in Statistics::GaussianMixtureModel) | Statistics::GaussianMixtureModel | |
| SetLinearTransform(const GaussianMixtureModel &gmm, const Matrix &A, const Vector &b) (defined in Statistics::GaussianMixtureModel) | Statistics::GaussianMixtureModel | |
| TrainDiagonalEM(const std::vector< Vector > &examples, Real &tol, int maxIters, int verbose=0) (defined in Statistics::GaussianMixtureModel) | Statistics::GaussianMixtureModel | |
| TrainEM(const std::vector< Vector > &examples, Real &tol, int maxIters, int verbose=0) | Statistics::GaussianMixtureModel | |
