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