stimated. It should be a
.           one-channel matrix, each row of which is a sample. If the matrix does not have CV_64F type
.           it will be converted to the inner matrix of such type for the further computing.
.       @param probs0 the probabilities
.       @param logLikelihoods The optional output matrix that contains a likelihood logarithm value for
.           each sample. It has \f$nsamples \times 1\f$ size and CV_64FC1 type.
.       @param labels The optional output "class label" for each sample:
.           \f$\texttt{labels}_i=\texttt{arg max}_k(p_{i,k}), i=1..N\f$ (indices of the most probable
.           mixture component for each sample). It has \f$nsamples \times 1\f$ size and CV_32SC1 type.
.       @param probs The optional output matrix that contains posterior probabilities of each Gaussian
.           mixture component given the each sample. It has \f$nsamples \times nclusters\f$ size and
.           CV_64FC1 type.