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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.

Finalizer

This operator is not available as a class member but will be called automatically when the resources of the object instances are to be released. This occurs in the finalization stage of garbage collection, or upon an explicit call of the Dispose() method.

ClearClassKnn    Clear a 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.
ClearAllClassKnn    Clear all k-NN classifiers.
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.

Destructor

This operator is not available as a class member but will be called automatically by the destructor. This occurs when a local variable goes out of scope or an instance on the heap is deleted.

ClearClassKnn    Clear a 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.
ClearAllClassKnn    Clear all k-NN classifiers.
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.

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.
ClearAllClassKnn    Clear all k-NN classifiers.
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.

HClassKnnX (Class)

Name

HClassKnnX — 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.

Destructor

This operator is not available as a class member but will be called automatically by the destructor. This occurs when the last reference to the object instance is removed.

ClearClassKnn    Clear a 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.
ClearAllClassKnn    Clear all k-NN classifiers.
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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