ml-recall

#orthogonal-matrix

1 question from Dimensionality Reduction

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mediumAI-checkedDimensionality Reduction

In the ICA model $\mathbf{v} = A\mathbf{h}$ with $D = 4$ independent unit-variance sources and an invertible $4 \times 4$ mixing matrix $A$ , the data are first whitened: $\mathbf{z} = V\mathbf{v} = \tilde A \mathbf{h}$ . Since $\tilde A$ must be orthogonal, how many free parameters (degrees of freedom) are left to estimate in $\tilde A$ ?

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