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PrincipalComponentAnalysisFromGramMatrix Method
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Constructs a new Principal Component Analysis from a Kernel (Gram) matrix.
Namespace:
Accord.Statistics.Analysis
Assembly:
Accord.Statistics (in Accord.Statistics.dll) Version: 3.8.0
Syntax public static PrincipalComponentAnalysis FromGramMatrix(
double[] mean,
double[] stdDev,
double[,] kernelMatrix
)
Public Shared Function FromGramMatrix (
mean As Double(),
stdDev As Double(),
kernelMatrix As Double(,)
) As PrincipalComponentAnalysis
Request Example
View SourceParameters
- mean
- Type: SystemDouble
The mean vector for the source data. - stdDev
- Type: SystemDouble
The standard deviation vectors for the source data. - kernelMatrix
- Type: SystemDouble
The kernel matrix for the data.
Return Value
Type:
PrincipalComponentAnalysisRemarks
This method may be more suitable to high dimensional problems in which
the original data matrix may not fit in memory but the covariance matrix
will.
See Also