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HClassKnn (Class)

Name

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

Constructors

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

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.

HClassKnn (Class)

Name

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

Constructors

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

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.


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