SparseLaplacianEstimate Method

Estimate appropriate values for sigma given a data set.

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

Syntax

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public static SparseLaplacian Estimate(
	double[][] inputs,
	int samples,
	out DoubleRange range
)

Public Shared Function Estimate ( 
	inputs As Double()(),
	samples As Integer,
	<OutAttribute> ByRef range As DoubleRange
) As SparseLaplacian

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Parameters

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.

Return Value

Type: SparseLaplacian
A Laplacian 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

SparseLaplacian Class

Accord.Statistics.Kernels.Sparse Namespace

SparseLaplacianAddLanguageSpecificTextSet("LST9D6269F4_0?cpp=::|nu=.");Estimate Method

Parameters

Return Value

Reference

SparseLaplacianEstimate Method