Classification - K-Nearest Neighbor

HALCON ScriptCpp++.NETPythonC

Operators

add_class_train_data_knnAddClassTrainDataKnn: Add training data to a k-nearest neighbors (k-NN) classifier.

add_sample_class_knnAddSampleClassKnn: Add a sample to a k-nearest neighbors (k-NN) classifier.

classify_class_knnClassifyClassKnn: Search for the next neighbors for a given feature vector.

clear_class_knnClearClassKnn: Clear a k-NN classifier.

create_class_knnCreateClassKnn: Create a k-nearest neighbors (k-NN) classifier.

deserialize_class_knnDeserializeClassKnn: Deserialize a serialized k-NN classifier.

get_class_train_data_knnGetClassTrainDataKnn: Get the training data of a k-nearest neighbors (k-NN) classifier.

get_params_class_knnGetParamsClassKnn: Get parameters of a k-NN classification.

get_sample_class_knnGetSampleClassKnn: Return a training sample from the training data of a k-nearest neighbors (k-NN) classifier.

get_sample_num_class_knnGetSampleNumClassKnn: Return the number of training samples stored in the training data of a k-nearest neighbors (k-NN) classifier.

read_class_knnReadClassKnn: Read the k-NN classifier from a file.

select_feature_set_knnSelectFeatureSetKnn: Selects an optimal subset from a set of features to solve a certain classification problem.

serialize_class_knnSerializeClassKnn: Serialize a k-NN classifier.

set_params_class_knnSetParamsClassKnn: Set parameters for k-NN classification.

train_class_knnTrainClassKnn: Creates the search trees for a k-NN classifier.

write_class_knnWriteClassKnn: Save the k-NN classifier in a file.