FastIca.MixingMatrix Property

public Matrix<double> MixingMatrix { get; }

Public ReadOnly Property MixingMatrix As Matrix(Of Double)
	Get

public:
property Matrix<double>^ MixingMatrix {
	Matrix<double>^ get ();
}

member MixingMatrix : Matrix<float> with get

Property Value

The mixing matrix represents the linear transformation from independent sources to the observed mixed signals: X ≈ S·M + μ, where S are the sources (nSamples × nComponents), M is the mixing matrix, and μ are the feature means.

Each column of M represents how one independent component contributes to the observed features.

This property corresponds to sklearn's mixing_ attribute and satisfies the relationship: MixingMatrix ≈ pinv(UnmixingMatrix) (pseudoinverse), ensuring that UnmixingMatrix @ MixingMatrix ≈ I in component space.

Reference