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HClassKnn🔗

Name🔗

HClassKnn — Represents an instance of a k-NearestNeighbor classifier.

Constructors🔗

 
CreateClassKnn Create a k-nearest neighbors (k-NN) classifier.
ReadClassKnn Read the k-NN classifier from a file.

Methods🔗

 
AddClassTrainDataKnn Add training data to a k-nearest neighbors (k-NN) classifier.
AddSampleClassKnn Add a sample to a k-nearest neighbors (k-NN) classifier.
AddSamplesImageClassKnn Add training samples from an image to the training data of a k-Nearest-Neighbor classifier.
ClassifyClassKnn Search for the next neighbors for a given feature vector.
ClassifyImageClassKnn Classify an image with a k-Nearest-Neighbor classifier.
ClearClassKnn Clear a k-NN classifier.
CreateClassKnn Create a k-nearest neighbors (k-NN) classifier.
CreateClassLutKnn Create a look-up table using a k-nearest neighbors classifier (k-NN) to classify byte images.
DeserializeClassKnn Deserialize a serialized k-NN classifier.
GetClassTrainDataKnn Get the training data of a k-nearest neighbors (k-NN) classifier.
GetParamsClassKnn Get parameters of a k-NN classification.
GetSampleClassKnn Return a training sample from the training data of a k-nearest neighbors (k-NN) classifier.
GetSampleNumClassKnn Return the number of training samples stored in the training data of a k-nearest neighbors (k-NN) classifier.
ReadClassKnn Read the k-NN classifier from a file.
SelectFeatureSetKnn Selects an optimal subset from a set of features to solve a certain classification problem.
SerializeClassKnn Serialize a k-NN classifier.
SetParamsClassKnn Set parameters for k-NN classification.
TrainClassKnn Creates the search trees for a k-NN classifier.
WriteClassKnn Save the k-NN classifier in a file.