C# Класс Accord.MachineLearning.BinarySplit

Наследование: KMeans

Показать файл Открыть проект Примеры использования класса

Открытые методы

Метод	Описание
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.

Приватные методы

Метод	Описание
split ( double cluster, KMeans kmeans ) : double[][]>.Tuple

Описание методов

BinarySplit() публичный метод

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.
Результат	System

BinarySplit() публичный метод

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.
Результат	System

Learn() публичный метод

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.
Результат	KMeansClusterCollection