KMedoidsTLearn Method

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

Namespace: Accord.MachineLearning
Assembly: Accord.MachineLearning (in Accord.MachineLearning.dll) Version: 3.8.0

Syntax

public KMedoidsClusterCollection<T> Learn(
	T[][] x,
	double[] weights = null
)

Public Function Learn ( 
	x As T()(),
	Optional weights As Double() = Nothing
) As KMedoidsClusterCollection(Of T)

x: Type: T
The model inputs.
weights (Optional): Type: SystemDouble
The weight of importance for each input sample.

Type: KMedoidsClusterCollectionT
A model that has learned how to produce suitable outputs given the input data x.

Exceptions

Exception	Condition
ArgumentNullException	points
ArgumentException	Not enough points. There should be more points than the number K of clusters.

KMedoidsAddLanguageSpecificTextSet("LSTB054541E_0?cs=&lt;|vb=(Of |cpp=&lt;|fs=&lt;'|nu=(");TAddLanguageSpecificTextSet("LSTB054541E_1?cs=&gt;|vb=)|cpp=&gt;|fs=&gt;|nu=)");AddLanguageSpecificTextSet("LSTB054541E_2?cpp=::|nu=.");Learn Method