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For larger databases with multiple (correlated) descriptors, a range of statistical approaches are available to convert data into maps of chemical space, and of these, principal component analysis (PCA) is used most widely, likely because the approach is implemented in many data analysis packages.
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Figure 5 illustrates the effect of highly correlated descriptors on scoring model performance, using the strongly correlated descriptors 'D' and 'Q' (κ = 0.84) and a third descriptor 'SCS-di' that has a weak correlation with both 'D' and 'Q' (κ = 0.13 and 0.12, respectively).
Notably, a growing number of these phenomena demand a consideration of correlated level crossings emerging from multiple correlated processes.
These functions include the removal of non-informative descriptors (function RemoveNearZeroVarianceFeatures) or highly correlated descriptors (function RemoveHighlyCorrelatedFeatures), the imputation of missing descriptor values (function ImputeFeatures), and descriptor centering and scaling to unit variance (function PreProcess) among others [30].
Therefore, we adopted multilayer techniques by 1) removing highly correlated descriptors (> = 0.8 to > =0.4), 2) MCC based selection of descriptors, 3) frequency based selection.
With multiple correlated sound signals simultaneously rendered by two or multiple loudspeakers, humans can only perceive a summing virtual sound.
It is common in mining industry that the deposits contain multiple correlated attributes of interest.
Section 2 presents the new EMBSBL algorithm for recovering multiple correlated block-sparse signals jointly.
The proposed metrics are applicable to validation for models with multiple correlated responses.
We consider regression models with multiple correlated responses for each design point.
The KLE for multiple correlated random excitations relies on expansions in terms of correlated sets of random variables reflecting the cross-covariance of the random processes.
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