Unlike the other five quality measures, the bigger the minimum angle, the better the corresponding reduction method is with respect to θ(B).
Germán et al. proposed a Lasso feature selection method based on minimum angle regression using fusion characteristics of the EEG, such as the power spectrum, Hjorth parameters, AR model coefficients, and wavelet transform parameters.
It is obvious from both Figure 9 and Table 2 that PLLL performs significantly better than any of the other four reduction methods in producing a bigger minimum angle of the reduced basis.
The random experiments have illustrated that both quality measures of orthogonality, i.e., the orthogonality defect and the minimum angle, are not sufficient to properly reflect the quality of a reduction method.
Log of the minimum angle of resolution.
It uses the minimum angle in a triangle as the quality metric, with larger minimum angles indicating higher element quality.
This should indicate that the minimum angle alone, as in the case of orthogonality defect, is not sufficient to represent the quality of a reduced basis or a reduction method, unless the lengths of the original basis are already short.
LogMAR = logarithm of the minimum angle of resolution.
blog MAR: logarithm of the Minimum Angle of Resolution.
In the first we measured spatial bisection and minimum angle.
