KNearest Class

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The KNearest classifier

Inheritance Hierarchy

Namespace: Emgu.CV.ML
Assembly: Emgu.CV.World (in Emgu.CV.World.dll) Version: 4.1.0.3408 (4.1.0.3408)

Syntax

public class KNearest : SharedPtrObject, IStatModel, 
	IAlgorithm

Public Class KNearest
	Inherits SharedPtrObject
	Implements IStatModel, IAlgorithm

public ref class KNearest : public SharedPtrObject, 
	IStatModel, IAlgorithm

type KNearest =  
    class
        inherit SharedPtrObject
        interface IStatModel
        interface IAlgorithm
    end

The KNearest type exposes the following members.

Constructors

	Name	Description
	KNearest	Create a default KNearest classifier

Properties

	Name	Description
	AlgorithmType	Algorithm type
	DefaultK	Default number of neighbors to use in predict method
	Emax	Parameter for KDTree implementation
	IsClassifier	Whether classification or regression model should be trained
	Ptr	Pointer to the unmanaged object (Inherited from UnmanagedObject.)
	SharedPtr	Pointer to the shared pointer to the unmanaged object (Inherited from SharedPtrObject.)

Methods

	Name	Description
	Dispose	The dispose function that implements IDisposable interface (Inherited from DisposableObject.)
	DisposeObject	Release the classifier and all the memory associated with it (Overrides DisposableObjectDisposeObject.)
	Equals	Determines whether the specified Object is equal to the current Object. (Inherited from Object.)
	Finalize	Destructor (Inherited from DisposableObject.)
	FindNearest	Finds the neighbors and predicts responses for input vectors.
	GetHashCode	Serves as a hash function for a particular type. (Inherited from Object.)
	GetType	Gets the type of the current instance. (Inherited from Object.)
	MemberwiseClone	Creates a shallow copy of the current Object. (Inherited from Object.)
	ReleaseManagedResources	Release the managed resources. This function will be called during the disposal of the current object. override ride this function if you need to call the Dispose() function on any managed IDisposable object created by the current object (Inherited from DisposableObject.)
	ToString	Returns a string that represents the current object. (Inherited from Object.)

Fields

	Name	Description
	_ptr	A pointer to the unmanaged object (Inherited from UnmanagedObject.)
	_sharedPtr	A pointer to the shared pointer to the unmanaged object (Inherited from SharedPtrObject.)

Extension Methods

	Name	Description
	Clear	Clear the algorithm (Defined by AlgorithmExtensions.)
	GetDefaultName	Returns the algorithm string identifier. This string is used as top level xml/yml node tag when the object is saved to a file or string. (Defined by AlgorithmExtensions.)
	IsEmpty	Returns true if the Algorithm is empty. e.g. in the very beginning or after unsuccessful read. (Defined by AlgorithmExtensions.)
	Load	Loads algorithm from the file (Defined by AlgorithmExtensions.)
	LoadFromString	Loads algorithm from a String (Defined by AlgorithmExtensions.)
	Predict	Predicts response(s) for the provided sample(s) (Defined by StatModelExtensions.)
	Read	Reads algorithm parameters from a file storage. (Defined by AlgorithmExtensions.)
	Save	Save the algorithm to file (Defined by AlgorithmExtensions.)
	SaveToString	Save the algorithm to a string (Defined by AlgorithmExtensions.)
	Train(TrainData, Int32)	Overloaded. Trains the statistical model. (Defined by StatModelExtensions.)
	Train(IInputArray, DataLayoutType, IInputArray)	Overloaded. Trains the statistical model. (Defined by StatModelExtensions.)
	Write(FileStorage)	Overloaded. Stores algorithm parameters in a file storage (Defined by AlgorithmExtensions.)
	Write(FileStorage, String)	Overloaded. Stores algorithm parameters in a file storage (Defined by AlgorithmExtensions.)