Exact(1)
The complexities associated with Eq. (A4) may be alleviated by reducing it to the symbolic form; Δ = ( A i + B s ) k left + C s ( k left - k right ) + D s + 1 + E i k right (A5 where, the first and last summation terms, A i and E i describe the accumulative contributions of the individual modules to the left and right sides, respectively, of the modules that share the common vertical at joint s.
Similar(59)
That is, R i (m) is the accumulative contribution rate of the first m principle components.
The accumulative contribution rate of the principle components is shown in Figure 12. Figure 12 Accumulative contribution rate of principle components derived from feature vectors corresponding to 2 sub-bands and full-band.
Figure 1 The accumulative contribution rate of the first m principle components corresponding to the 4-sub-band and full-band.
The accumulative contribution rate of the first m principle components corresponding to the 4-sub-band and full-band is shown in Figure 1.
In order to check to what extent a subset of singular components can explain the original PSSM, we calculated the accumulative contribution ratio of each PSSM.
The accumulative
It was thought to be sufficient for these three axes to present a relation among the existing matrices because the accumulative contribution of these axes reached ∼93% of total variance.
As is well known, the accumulative variance contribution is usually used as the criterion of determining the feature dimensionality during the utility of the PCA.
At the same time, the DB index of this feature space should have the minimum value and the accumulative variance contribution of this feature space should be larger than 90%.
Amy Yao's approach is also accumulative.
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Justyna Jupowicz-Kozak
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