GaussianEstimateT Method (T, Double, Int32, DoubleRange)

Estimates appropriate values for sigma given a data set.

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

Syntax

Copy

public static Gaussian<T> Estimate<T>(
	T kernel,
	double[][] inputs,
	int samples,
	out DoubleRange range
)
where T : IDistance, ICloneable

Public Shared Function Estimate(Of T As {IDistance, ICloneable}) ( 
	kernel As T,
	inputs As Double()(),
	samples As Integer,
	<OutAttribute> ByRef range As DoubleRange
) As Gaussian(Of T)

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Parameters

kernel: Type: T
The inner kernel.
inputs: Type: SystemDouble
The data set.
samples: Type: SystemInt32
The number of random samples to analyze.
range: Type: AccordDoubleRange
The range of suitable values for sigma.

Type Parameters

T

Return Value

Type: GaussianT
A Gaussian kernel initialized with an appropriate sigma value.

Remarks

This method uses a simple heuristic to obtain appropriate values for sigma in a radial basis function kernel. The heuristic is shown by Caputo, Sim, Furesjo and Smola, "Appearance-based object recognition using SVMs: which kernel should I use?", 2002.

Reference

Gaussian Structure

Estimate Overload

Accord.Statistics.Kernels Namespace