C# Class Accord.MachineLearning.BinarySplit

Inheritance: KMeans

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Méthodes publiques

Méthode	Description
BinarySplit ( int k ) : System	Initializes a new instance of the Binary Split algorithm
BinarySplit ( int k, IDistance distance ) : System	Initializes a new instance of the Binary Split algorithm
Learn ( double x, double weights = null ) : KMeansClusterCollection	Learns a model that can map the given inputs to the desired outputs.

Private Methods

Méthode	Description
split ( double cluster, KMeans kmeans ) : double[][]>.Tuple

Method Details

BinarySplit() public méthode

Initializes a new instance of the Binary Split algorithm

public BinarySplit ( int k ) : System
k	int	The number of clusters to divide the input data into.
Résultat	System

BinarySplit() public méthode

Initializes a new instance of the Binary Split algorithm

public BinarySplit ( int k, IDistance distance ) : System
k	int	The number of clusters to divide the input data into.
distance	IDistance	The distance function to use. Default is to /// use the distance.
Résultat	System

Learn() public méthode

Learns a model that can map the given inputs to the desired outputs.

public Learn ( double x, double weights = null ) : KMeansClusterCollection
x	double	The model inputs.
weights	double	The weight of importance for each input sample.
Résultat	KMeansClusterCollection