KMedoidsClusterCollectionTRandomize Method

Randomizes the clusters inside a dataset.

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

Syntax

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public int[] Randomize(
	T[][] points,
	Seeding strategy = Seeding.PamBuild,
	ParallelOptions parallelOptions = null
)

Public Function Randomize ( 
	points As T()(),
	Optional strategy As Seeding = Seeding.PamBuild,
	Optional parallelOptions As ParallelOptions = Nothing
) As Integer()

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Parameters

points: Type: T
The data to randomize the algorithm.
strategy (Optional): Type: Accord.MachineLearningSeeding
The seeding strategy to be used. Default is PamBuild.
parallelOptions (Optional): Type: System.Threading.TasksParallelOptions
The parallelization options for this procedure. Only relevant for the PamBuild.

Return Value

Type: Int32
Array of point indices, if clusters were binded to points, null otherwise.

Reference

KMedoidsClusterCollectionT Class

Accord.MachineLearning Namespace

KMedoidsClusterCollectionAddLanguageSpecificTextSet("LST10815156_0?cs=&lt;|vb=(Of |cpp=&lt;|fs=&lt;'|nu=(");TAddLanguageSpecificTextSet("LST10815156_1?cs=&gt;|vb=)|cpp=&gt;|fs=&gt;|nu=)");AddLanguageSpecificTextSet("LST10815156_2?cpp=::|nu=.");Randomize Method

Parameters

Return Value

Reference

KMedoidsClusterCollectionTRandomize Method