| AddMember(UnivariateGaussianPDF pdf, double Weight) | crn::UnivariateGaussianMixture | |
| BIC(double l, size_t n) const | crn::UnivariateGaussianMixture | inline |
| BIC(const std::vector< double > &Data) const | crn::UnivariateGaussianMixture | inline |
| Deserialize(xml::Element &el) | crn::UnivariateGaussianMixture | |
| EM(const MatrixDouble &patterns, size_t nbSeeds=2, double epsilon=std::numeric_limits< double >::epsilon(), size_t maximalIterations=100) | crn::UnivariateGaussianMixture | |
| EM(const std::vector< double > &patterns, size_t nbSeeds=2, double epsilon=std::numeric_limits< double >::epsilon(), size_t maximalIterations=100) | crn::UnivariateGaussianMixture | |
| EM(ITER it_begin, ITER it_end, size_t nbSeeds=2, double epsilon=std::numeric_limits< double >::epsilon(), size_t maximalIterations=100) | crn::UnivariateGaussianMixture | |
| GetMean(size_t k) const | crn::UnivariateGaussianMixture | |
| GetMember(size_t k) const | crn::UnivariateGaussianMixture | |
| GetNbMembers() const noexcept | crn::UnivariateGaussianMixture | inline |
| GetVariance(size_t k) const | crn::UnivariateGaussianMixture | |
| GetWeight(size_t k) const | crn::UnivariateGaussianMixture | |
| MakeRandomSample(size_t n=1, size_t m=100, bool reseed=true) const | crn::UnivariateGaussianMixture | |
| MLLE(const MatrixDouble &Data) const | crn::UnivariateGaussianMixture | |
| MLLE(const std::vector< double > &Data) const | crn::UnivariateGaussianMixture | |
| MLLE(ITER it_begin, ITER it_end) const | crn::UnivariateGaussianMixture | |
| operator=(const UnivariateGaussianMixture &)=delete | crn::UnivariateGaussianMixture | |
| operator=(UnivariateGaussianMixture &&)=default | crn::UnivariateGaussianMixture | |
| Serialize(xml::Element &parent) const | crn::UnivariateGaussianMixture | |
| SetMember(UnivariateGaussianPDF pdf, double w, size_t k) | crn::UnivariateGaussianMixture | |
| SortMembersByMeans(bool reverse=false) | crn::UnivariateGaussianMixture | |
| SortMembersByVariances(bool reverse=false) | crn::UnivariateGaussianMixture | |
| SortMembersByWeights(bool reverse=false) | crn::UnivariateGaussianMixture | |
| ToString() const | crn::UnivariateGaussianMixture | |
| ToString(size_t k) const | crn::UnivariateGaussianMixture | |
| UnivariateGaussianMixture() | crn::UnivariateGaussianMixture | inline |
| UnivariateGaussianMixture(const UnivariateGaussianMixture &m)=default | crn::UnivariateGaussianMixture | |
| UnivariateGaussianMixture(UnivariateGaussianMixture &&)=default | crn::UnivariateGaussianMixture | |
| UnivariateGaussianMixture(ITER it_begin, ITER it_end, size_t nb_seeds=2) | crn::UnivariateGaussianMixture | inline |
| ValueAt(const double x) const | crn::UnivariateGaussianMixture | |
| ValueAt(const double x, size_t k, bool weight_flag=false) const | crn::UnivariateGaussianMixture | |
| ~Object()=default | crn::Object | virtual |
| ~UnivariateGaussianMixture() override | crn::UnivariateGaussianMixture | virtual |
1.8.6