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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).

Syntax

public static void CreatePCATransform
(
	FilNet.Matrix inMatrix,
	int inDimensions,
	float? inVarianceToLeave,
	FilNet.PCAModel outPCAModel,
	FilNet.Matrix outTransformedMatrix
)

Parameters

	Name	Type	Range	Default	Description
	inMatrix	FilNet.Matrix			Input data, where variables are in column, and examples are in rows.
	inDimensions	int	<1, INF>		How many data dimensions (variables) to be left in transformed data.
	inVarianceToLeave	float?	<0.0f, 1.0f>	0.95f	How many of input data variance should be left in transformed data; overrides inDimensions input. Default value: 0.95f.
	outPCAModel	FilNet.PCAModel			Resulting PCA model.
	outTransformedMatrix	FilNet.Matrix			Transformed inMatrix with reduced dimensionality.

Function Overrides

• CreatePCATransform(Matrix, Int32, PCAModel, Matrix)
• CreatePCATransform(Matrix, Int32, Nullable<Single>, PCAModel, Matrix, Matrix, Matrix, IList<Int32>)

See also

• All Classes List
• FIS Class Reference