write_samples_class_gmm — Write the training data of a Gaussian Mixture Model to a file.
write_samples_class_gmm writes the training samples stored
in the Gaussian Mixture Model (GMM)
GMMHandle to the file
write_samples_class_gmm can be
used to build up a database of training samples, and hence to
improve the performance of the GMM by training it with an extended
data set (see
FileName is overwritten by
write_samples_class_gmm. Nevertheless, extending the
database of training samples is easy because
the training samples to the training samples that are already stored
in memory with the GMM.
The created file can be read with
the classifier of a multilayer perceptron (MLP) should be
used. The class of a training sample in the GMM corresponds to a
component of the target vector in the MLP being 1.0.
If the parameters are valid, the operator
write_samples_class_gmm returns the value 2 (H_MSG_TRUE). If
necessary an exception is raised.