GaussianEstimate Method (SparseDouble, Int32)

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

public static Gaussian Estimate(
	Sparse<double>[] inputs,
	int samples
)

Public Shared Function Estimate ( 
	inputs As Sparse(Of Double)(),
	samples As Integer
) As Gaussian

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Parameters

inputs: Type: Accord.MathSparseDouble
The data set.
samples: Type: SystemInt32
The number of random samples to analyze.

Return Value

Type: Gaussian
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