Accord.NET Framework

Framework modules

Accord.Statistics.Analysis

AnalysisMethod Enumeration

BaseDiscriminantAnalysis Class

CircularDescriptiveAnalysis Class

CircularDescriptiveMeasureCollection Class

CircularDescriptiveMeasures Class

ConfusionMatrix Class

DescriptiveAnalysis Class

DescriptiveMeasureCollection Class

DescriptiveMeasures Class

Discriminant Class

DiscriminantAnalysisClass Class

DiscriminantAnalysisClassCollection Class

DiscriminantCollection Class

DistributionAnalysis Class

GeneralConfusionMatrix Class

GoodnessOfFit Class

GoodnessOfFitCollection Class

HazardCoefficient Class

HazardCoefficientCollection Class

IAnalysis Interface

IAnalysisComponent Interface

IDescriptiveMeasures Interface

IDiscriminantAnalysis Interface

IMultivariateAnalysis Interface

IMultivariateRegressionAnalysis Interface

IndependentComponent Class

IndependentComponentAlgorithm Enumeration

IndependentComponentAnalysis Class

IndependentComponentCollection Class

IProjectionAnalysis Interface

IRegressionAnalysis Interface

KernelDiscriminantAnalysis Class

KernelDiscriminantAnalysis.Pipeline Class

KernelPrincipalComponentAnalysis Class

LinearDiscriminantAnalysis Class

LinearDiscriminantAnalysis.Pipeline Class

LinearRegressionCoefficient Class

LinearRegressionCoefficientCollection Class

LogisticCoefficient Class

LogisticCoefficientCollection Class

LogisticRegressionAnalysis Class

MultinomialCoefficient Class

MultinomialCoefficientCollection Class

MultinomialLogisticRegressionAnalysis Class

MultipleLinearRegressionAnalysis Class

NestedLogisticCoefficient Class

NestedLogisticCoefficientCollection Class

PartialLeastSquaresAlgorithm Enumeration

PartialLeastSquaresAnalysis Class

PartialLeastSquaresFactor Class

PartialLeastSquaresFactorCollection Class

PartialLeastSquaresVariables Class

PrincipalComponent Class

PrincipalComponentAnalysis Class

PrincipalComponentCollection Class

PrincipalComponentMethod Enumeration

ProcrustedDataset Class

ProcrustesAnalysis Class

ProportionalHazardsAnalysis Class

ReceiverOperatingCharacteristic Class

ReceiverOperatingCharacteristicPoint Class

ReceiverOperatingCharacteristicPointCollection Class

RocAreaMethod Enumeration

StepwiseLogisticRegressionAnalysis Class

StepwiseLogisticRegressionModel Class

StepwiseLogisticRegressionModelCollection Class

WeightedConfusionMatrix Class

PrincipalComponentMethod Enumeration

Determines the method to be used in a statistical analysis.

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

Syntax

Copy

public enum PrincipalComponentMethod

Public Enumeration PrincipalComponentMethod

Members

Member name	Value	Description
Center	0	By choosing Center, the method will be run on the mean-centered data.
Standardize	1	By choosing Standardize, the method will be run on the mean-centered and standardized data.
CorrelationMatrix	2	By choosing CorrelationMatrix, the method will interpret the given data as a correlation matrix.
CovarianceMatrix	3	By choosing CovarianceMatrix, the method will interpret the given data as a correlation matrix.
KernelMatrix	4	By choosing KernelMatrix, the method will interpret the given data as a Kernel (Gram) matrix.

Reference

Accord.Statistics.Analysis Namespace