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In computing the correlation or distance of every feature vector to every other feature vector all possible relations between all features in all feature vectors are accounted for.
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A correlation was seen between all the observed endoscopic features in both groups of endoscopists.
The aspect alluded to in the second part, 'redundancy', refers to pairwise relationships between all pairs of features in the predictor set.
The MR calculates the redundancy between the feature f in Ω t and all the other features in Ω s.
However, the assumption of correlations between the features in the data is a core aspect of dimensionality reduction methods that can result in inaccurate feature descriptions.
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There exist prominent differences between the features in terms of the comparison with the positive and negative gold-standard datasets.
In one case, we used the "upper bound" regression method described in [14] to evaluate a potential tradeoff between vocal features in which the variance in one vocal feature depends on another vocal feature.
There is a relationship between ultrastructural features in neuroblastoma and MYCN status, although with marked overlap between groups.
However, a recent study found a high degree of correspondence between textural features in digital and analogue mammograms [ 48].
To simplify the model we introduced several assumptions about the dependence relationships between different features in the histone promoters.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com