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GaussianEstimateT Method (T, Double, DoubleRange)

Estimate appropriate values for sigma given a data set.

Namespace:  Accord.Statistics.Kernels
Assembly:  Accord.Statistics (in Accord.Statistics.dll) Version: 3.8.0
Syntax
public static Gaussian<T> Estimate<T>(
	T kernel,
	double[][] inputs,
	out DoubleRange range
)
where T : IDistance, IKernel, ICloneable
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Parameters

kernel
Type: T
The inner kernel.
inputs
Type: SystemDouble
The data set.
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.
See Also