KernelPrincipalComponentAnalysis Constructor (Double, IKernel, AnalysisMethod, Boolean)

Note: This API is now obsolete.

Constructs the Kernel Principal Component Analysis.

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

Syntax

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[ObsoleteAttribute("Please pass the 'data' matrix to the Learn method instead.")]
public KernelPrincipalComponentAnalysis(
	double[][] data,
	IKernel kernel,
	AnalysisMethod method,
	bool centerInFeatureSpace
)

<ObsoleteAttribute("Please pass the 'data' matrix to the Learn method instead.")>
Public Sub New ( 
	data As Double()(),
	kernel As IKernel,
	method As AnalysisMethod,
	centerInFeatureSpace As Boolean
)

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Parameters

data: Type: SystemDouble
The source data to perform analysis. The matrix should contain variables as columns and observations of each variable as rows.
kernel: Type: Accord.Statistics.KernelsIKernel
The kernel to be used in the analysis.
method: Type: Accord.Statistics.AnalysisAnalysisMethod
The analysis method to perform.
centerInFeatureSpace: Type: SystemBoolean
True to center the data in feature space, false otherwise. Default is true.

Reference

KernelPrincipalComponentAnalysis Class

KernelPrincipalComponentAnalysis Overload

Accord.Statistics.Analysis Namespace