Lines Matching full:mixture
752 /** The number of mixture components in the Gaussian mixture model.
782 /** @brief Returns the cluster centers (means of the Gaussian mixture)
795 /** @brief Returns a likelihood logarithm value and an index of the most probable mixture component
804 the sample. First element is an index of the most probable mixture component for the given
809 /** @brief Estimate the Gaussian mixture parameters from a samples set.
816 Likelihood Estimate* of the Gaussian mixture parameters from an input sample set, stores all the
820 probable mixture component for each sample).
825 @param samples Samples from which the Gaussian mixture model will be estimated. It should be a
832 mixture component for each sample). It has \f$nsamples \times 1\f$ size and CV_32SC1 type.
834 mixture component given the each sample. It has \f$nsamples \times nclusters\f$ size and
842 /** @brief Estimate the Gaussian mixture parameters from a samples set.
845 mixture components. Optionally you can pass initial weights \f$\pi_k\f$ and covariance matrices
846 \f$S_k\f$ of mixture components.
848 @param samples Samples from which the Gaussian mixture model will be estimated. It should be a
851 @param means0 Initial means \f$a_k\f$ of mixture components. It is a one-channel matrix of
854 @param covs0 The vector of initial covariance matrices \f$S_k\f$ of mixture components. Each of
858 @param weights0 Initial weights \f$\pi_k\f$ of mixture components. It should be a one-channel
864 mixture component for each sample). It has \f$nsamples \times 1\f$ size and CV_32SC1 type.
866 mixture component given the each sample. It has \f$nsamples \times nclusters\f$ size and
876 /** @brief Estimate the Gaussian mixture parameters from a samples set.
881 @param samples Samples from which the Gaussian mixture model will be estimated. It should be a
889 mixture component for each sample). It has \f$nsamples \times 1\f$ size and CV_32SC1 type.
891 mixture component given the each sample. It has \f$nsamples \times nclusters\f$ size and
1483 /** @brief Generates sample from gaussian mixture distribution */
