Display Frobenius Measure

Specify this option to compute the Frobenius measure (displayed in terms of percentage error) between the raw additive and dominance matrices with their respectively low-rank matrices obtained either via randomized or truncated singular value decomposition (SVD).

The smaller the percentage error, the better is the approximation between the low-rank SVD and the raw matrix.

Note: This option is available only when the Compute near optimal low-rank randomized SVD for the additive and dominance matrices check box is checked.

To Specify This Option:

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Make sure that the Compute near optimal low-rank randomized SVD for the additive and dominance matrices check box is checked.

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Click within the check box.