Classification - Gaussian Mixture Models🔗
Operators🔗
add_class_train_data_gmm: Add training data to a Gaussian Mixture Model (GMM).
add_sample_class_gmm: Add a training sample to the training data of a Gaussian Mixture
Model.
classify_class_gmm: Calculate the class of a feature vector by a Gaussian Mixture
Model.
clear_class_gmm: Clear a Gaussian Mixture Model.
clear_samples_class_gmm: Clear the training data of a Gaussian Mixture Model.
create_class_gmm: Create a Gaussian Mixture Model for classification
deserialize_class_gmm: Deserialize a serialized Gaussian Mixture Model.
evaluate_class_gmm: Evaluate a feature vector by a Gaussian Mixture Model.
get_class_train_data_gmm: Get the training data of a Gaussian Mixture Model (GMM).
get_params_class_gmm: Return the parameters of a Gaussian Mixture Model.
get_prep_info_class_gmm: Compute the information content of the preprocessed feature vectors
of a GMM.
get_sample_class_gmm: Return a training sample from the training data of a Gaussian
Mixture Models (GMM).
get_sample_num_class_gmm: Return the number of training samples stored in the training data of
a Gaussian Mixture Model (GMM).
read_class_gmm: Read a Gaussian Mixture Model from a file.
read_samples_class_gmm: Read the training data of a Gaussian Mixture Model from a file.
select_feature_set_gmm: Selects an optimal combination from a set of features to classify the
provided data.
serialize_class_gmm: Serialize a Gaussian Mixture Model (GMM).
train_class_gmm: Train a Gaussian Mixture Model.
write_class_gmm: Write a Gaussian Mixture Model to a file.
write_samples_class_gmm: Write the training data of a Gaussian Mixture Model to a file.