BhattacharyyaDistance Method (Double, Double, Double, Double, Double, Double)

Bhattacharyya distance between two Gaussian distributions.

Namespace: Accord.Math.Distances
Assembly: Accord.Statistics (in Accord.Statistics.dll) Version: 3.8.0

Syntax

public double Distance(
	double[] meanX,
	double[,] covX,
	double lnDetCovX,
	double[] meanY,
	double[,] covY,
	double lnDetCovY
)

Public Function Distance ( 
	meanX As Double(),
	covX As Double(,),
	lnDetCovX As Double,
	meanY As Double(),
	covY As Double(,),
	lnDetCovY As Double
) As Double

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Parameters

meanX: Type: SystemDouble
Mean for the first distribution.
covX: Type: SystemDouble
Covariance matrix for the first distribution.
lnDetCovX: Type: SystemDouble
The logarithm of the determinant for the covariance matrix of the first distribution.
meanY: Type: SystemDouble
Mean for the second distribution.
covY: Type: SystemDouble
Covariance matrix for the second distribution.
lnDetCovY: Type: SystemDouble
The logarithm of the determinant for the covariance matrix of the second distribution.

Return Value

Type: Double
The Bhattacharyya distance between the two distributions.

Reference

Bhattacharyya Class

Distance Overload

Accord.Math.Distances Namespace