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HClassKnn (Class)

名称

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

`ReadClassKnn`		从一个文件中读取k-NN分类器。
`CreateClassKnn`		Create a K-最近邻 (k-NN) classifier.

`AddClassTrainDataKnn`		将训练数据添加到k-最近邻(k-NN)分类器。
`AddSampleClassKnn`		Add a sample to a K-最近邻 (k-NN) classifier.
`AddSamplesImageClassKnn`		Add training samples from an image to the training data of a k-Nearest-Neighbor classifier.
`ClassifyClassKnn`		搜索给定特征向量的下一个邻居。
`ClassifyImageClassKnn`		Classify an image with a k-Nearest-Neighbor classifier.
`ClearClassKnn`		清除一个k-NN分类器。
`CreateClassKnn`		Create a K-最近邻 (k-NN) classifier.
`CreateClassLutKnn`		Create a look-up table using a K-最近邻 classifier (k-NN) to classify byte images.
`DeserializeClassKnn`		Deserialize a serialized k-NN classifier.
`GetClassTrainDataKnn`		Get the training data of a K-最近邻 (k-NN) classifier.
`GetParamsClassKnn`		Get parameters of a k-NN classification.
`GetSampleClassKnn`		Return a training sample from the training data of a K-最近邻 (k-NN) classifier.
`GetSampleNumClassKnn`		Return the number of training samples stored in the training data of a K-最近邻 (k-NN) classifier.
`ReadClassKnn`		从一个文件中读取k-NN分类器。
`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 — Represents an instance of a k-NearestNeighbor classifier.

`ReadClassKnn`		从一个文件中读取k-NN分类器。
`CreateClassKnn`		Create a K-最近邻 (k-NN) classifier.

`AddClassTrainDataKnn`		将训练数据添加到k-最近邻(k-NN)分类器。
`AddSampleClassKnn`		Add a sample to a K-最近邻 (k-NN) classifier.
`AddSamplesImageClassKnn`		Add training samples from an image to the training data of a k-Nearest-Neighbor classifier.
`ClassifyClassKnn`		搜索给定特征向量的下一个邻居。
`ClassifyImageClassKnn`		Classify an image with a k-Nearest-Neighbor classifier.
`ClearClassKnn`		清除一个k-NN分类器。
`CreateClassKnn`		Create a K-最近邻 (k-NN) classifier.
`CreateClassLutKnn`		Create a look-up table using a K-最近邻 classifier (k-NN) to classify byte images.
`DeserializeClassKnn`		Deserialize a serialized k-NN classifier.
`GetClassTrainDataKnn`		Get the training data of a K-最近邻 (k-NN) classifier.
`GetParamsClassKnn`		Get parameters of a k-NN classification.
`GetSampleClassKnn`		Return a training sample from the training data of a K-最近邻 (k-NN) classifier.
`GetSampleNumClassKnn`		Return the number of training samples stored in the training data of a K-最近邻 (k-NN) classifier.
`ReadClassKnn`		从一个文件中读取k-NN分类器。
`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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