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. |