ICentroidClusterCollectionTData, TCentroids, TClusterDistortion Method

Calculates the average square distance from the data points to the nearest clusters' centroids.

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

Syntax

Copy

double Distortion(
	TData[] data,
	int[] labels = null,
	double[] weights = null
)

Function Distortion ( 
	data As TData(),
	Optional labels As Integer() = Nothing,
	Optional weights As Double() = Nothing
) As Double

Parameters

data: Type: TData
labels (Optional): Type: SystemInt32
weights (Optional): Type: SystemDouble

Return Value

Type: Double
The average square distance from the data points to the nearest clusters' centroids.

Remarks

The average distance from centroids can be used as a measure of the "goodness" of the clustering. The more the data are aggregated around the centroids, the less the average distance.

Reference

ICentroidClusterCollectionTData, TCentroids, TCluster Interface

Accord.MachineLearning Namespace

ICentroidClusterCollectionAddLanguageSpecificTextSet("LSTC018D274_0?cs=&lt;|vb=(Of |cpp=&lt;|fs=&lt;'|nu=(");TData, TCentroids, TClusterAddLanguageSpecificTextSet("LSTC018D274_1?cs=&gt;|vb=)|cpp=&gt;|fs=&gt;|nu=)");AddLanguageSpecificTextSet("LSTC018D274_2?cpp=::|nu=.");Distortion Method

Parameters

Return Value

Reference

ICentroidClusterCollectionTData, TCentroids, TClusterDistortion Method