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FIS.CreatePCATransform Method

Performs the Principal Component Analysis (PCA) on provided data, creates the feature vector and normalization coefficients (mean and standard deviation of variables).

Namespace:FilNet
Assembly:FIL.NET.dll

Syntax

public static void CreatePCATransform
(
	FilNet.Matrix inMatrix,
	int inDimensions,
	float? inVarianceToLeave,
	FilNet.PCAModel outPCAModel,
	FilNet.Matrix outTransformedMatrix,
	FilNet.Matrix diagCovarianceMatrix,
	FilNet.Matrix diagNormalizedData,
	IList<int> diagUsedFeatureIndices
)

Parameters

Name Type Range Default Description
inMatrixFilNet.MatrixInput data, where variables are in column, and examples are in rows.
inDimensionsint<1, INF>How many data dimensions (variables) to be left in transformed data.
inVarianceToLeavefloat?<0.0f, 1.0f>0.95fHow many of input data variance should be left in transformed data; overrides inDimensions input. Default value: 0.95f.
outPCAModelFilNet.PCAModelResulting PCA model.
outTransformedMatrixFilNet.MatrixTransformed inMatrix with reduced dimensionality.
diagCovarianceMatrixFilNet.MatrixCovariance matrix of input data.
diagNormalizedDataFilNet.MatrixInput data after normalization: scaling and centering.
diagUsedFeatureIndicesSystem.Collections.Generic.IList<int>Indices of columns in inMatrix, which were used as Principal Components.

Function Overrides

See also